Implementing the Progeny Clustering algorithm, the 'progenyClust' package assesses the clustering stability and identifies the optimal clustering number for a given data matrix. It uses k-means clustering as a default, provides a tailored hierarchical clustering function, and can be customized to work with other clustering algorithms and different parameter settings. The package includes a main function progenyClust(), plot and summary methods for 'progenyClust' object, a function hclust.progenyClust() for hierarchical clustering, and two example datasets (test and cell) for testing.
| Version: | 1.2 |
| Depends: | graphics, stats, grDevices |
| Imports: | Hmisc |
| Published: | 2016-04-12 |
| Author: | C.W. Hu |
| Maintainer: | C.W. Hu <wendyhu001 at gmail.com> |
| License: | AGPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | progenyClust results |
| Reference manual: | progenyClust.pdf |
| Package source: | progenyClust_1.2.tar.gz |
| Windows binaries: | r-devel: progenyClust_1.2.zip, r-release: progenyClust_1.2.zip, r-oldrel: progenyClust_1.2.zip |
| OS X binaries: | r-release: progenyClust_1.2.tgz, r-oldrel: progenyClust_1.2.tgz |
| Old sources: | progenyClust archive |
Please use the canonical form https://CRAN.R-project.org/package=progenyClust to link to this page.


Welcome to Bike Share
Get Started !! Rent or List a bike
List a Bike
Rent a Bike
View Listed/Rented Bikes
To Return a bike please click here.
Return a Bike
BikeID
Owner ID
From Date
To Date
Bike Code
Submit
close


Do not use shared or group accounts. Assign a unique account to each user.
Not using shared accounts ensures that actions can be traced back to individual users; this is known as non-repudiation.
Perform the following tasks to assure that shared accounts are not used:
Delete shared accounts. Launch the the user management application by clicking on "Start", "Programs", "Administrative Tools", "Active Directory Users and Computers". Delete all shared accounts.
Create new user accounts. Make a new unique account for each authorized person that has been using the shared account. To create a new user, navigate to the user list, right click on it, select "New", "User"
Configure the new user accounts. Fill in the user account information in the "New Object - User" dialog. Configure group membership and data access control permissions for the new user account. Peform other actions associated with creating new user accounts, such as adding e-mail accounts, allocating personal work-space, etc.


Class: Aws::S3::Types::Rule
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb |
Overview
Constant Summary
-
SENSITIVE =
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12591[]
Instance Attribute Summary
-
#abort_incomplete_multipart_upload ⇒ Types::AbortIncompleteMultipartUpload
rw
Specifies the days since the initiation of an incomplete multipart upload that Amazon S3 will wait before permanently removing all parts of the upload.
-
#expiration ⇒ Types::LifecycleExpiration
rw
Specifies the expiration for the lifecycle of the object.
-
#id ⇒ String
rw
Unique identifier for the rule.
-
#noncurrent_version_expiration ⇒ Types::NoncurrentVersionExpiration
rw
Specifies when noncurrent object versions expire.
-
#noncurrent_version_transition ⇒ Types::NoncurrentVersionTransition
rw
Container for the transition rule that describes when noncurrent objects transition to the
STANDARD_IA
,ONEZONE_IA
,INTELLIGENT_TIERING
,GLACIER_IR
,GLACIER
, orDEEP_ARCHIVE
storage class. -
#prefix ⇒ String
rw
Object
key prefix that identifies one or more objects to which this rule applies. -
#status ⇒ String
rw
If
Enabled
, the rule is currently being applied. -
#transition ⇒ Types::Transition
rw
Specifies when an object transitions to a specified storage class.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Aws::Structure#to_h. |
Instance Attribute Details
#abort_incomplete_multipart_upload ⇒ Types::AbortIncompleteMultipartUpload (rw)
Specifies the days since the initiation of an incomplete multipart
upload that Amazon S3 will wait before permanently removing all
parts of the upload. For more information, see Aborting Incomplete
Multipart Uploads Using a Bucket
Lifecycle Configuration in the
Amazon ::Aws::S3
User Guide.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end
#expiration ⇒ Types::LifecycleExpiration (rw)
Specifies the expiration for the lifecycle of the object.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end
#id ⇒ String
(rw)
Unique identifier for the rule. The value can't be longer than 255 characters.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end
#noncurrent_version_expiration ⇒ Types::NoncurrentVersionExpiration (rw)
Specifies when noncurrent object versions expire. Upon expiration, Amazon S3 permanently deletes the noncurrent object versions. You set this lifecycle configuration action on a bucket that has versioning enabled (or suspended) to request that Amazon S3 delete noncurrent object versions at a specific period in the object's lifetime.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end
#noncurrent_version_transition ⇒ Types::NoncurrentVersionTransition (rw)
Container for the transition rule that describes when noncurrent
objects transition to the STANDARD_IA
, ONEZONE_IA
,
INTELLIGENT_TIERING
, GLACIER_IR
, GLACIER
, or DEEP_ARCHIVE
storage class. If your bucket is versioning-enabled (or versioning
is suspended), you can set this action to request that Amazon S3
transition noncurrent object versions to the STANDARD_IA
,
ONEZONE_IA
, INTELLIGENT_TIERING
, GLACIER_IR
, GLACIER
, or
DEEP_ARCHIVE
storage class at a specific period in the object's
lifetime.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end
#prefix ⇒ String
(rw)
Object
key prefix that identifies one or more objects to which this
rule applies.
Replacement must be made for object keys containing special characters (such as carriage returns) when using XML requests. For more information, see XML related object key constraints.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end
#status ⇒ String
(rw)
If Enabled
, the rule is currently being applied. If Disabled
,
the rule is not currently being applied.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end
#transition ⇒ Types::Transition (rw)
Specifies when an object transitions to a specified storage class.
For more information about Amazon S3 lifecycle configuration rules,
see Transitioning Objects Using Amazon S3 Lifecycle in the
Amazon ::Aws::S3
User Guide.
# File 'gems/aws-sdk-s3/lib/aws-sdk-s3/types.rb', line 12582
class Rule < Struct.new( :expiration, :id, :prefix, :status, :transition, :noncurrent_version_transition, :noncurrent_version_expiration, :abort_incomplete_multipart_upload) SENSITIVE = [] include Aws::Structure end


Are you able to guess which numbers the computer will generate?
Try entering the numbers: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
Source Code


Demo Plots
Back to demo
Window Size Selection
Back to demo
Window Size Selection
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Applications
Back to demo
Removing Reverberation
Back to demo
Removing Reverberation
Back to demo


The confrontation resulted in the Accident and Emergency unit being shut down for two hours.
READ: Bust-up at Bustamante, PNP councillor, doctor clash
READ: Kari Douglas apologises for Bustamante Hospital stand-off
The association, in a release this morning, said it notes the apology of Kari Douglas, the mother of the sick child, to the medical staff at the hospital but maintains that the incident was unfortunate and was “borne out of a lack of control and respect.”
According to the association, this type of behaviour is far to prevalent in the island’s emergency rooms and many such incidents are under reported.
“This has given rise to what was once unthinkable, as open threats, verbal abuse and frank disrespect have become the new custom and we strongly believe that offensive behaviour should not be condoned and the JEMA refuses to regard this as being acceptable in our emergency rooms,” the association said.
The association pushed back at reports that emergency room workers are arrogant, callous, inconsiderate and unsympathetic, despite several claims from individuals of disrespect in hospitals.
“....While we are fully focused on the issue at hand, our approach is purely professional which may be misconstrued as being otherwise. We believe most of these misconceptions stem from a lack of knowledge and understanding of the systems we use to operate our emergency rooms efficiently,” said JEMA.
It explained that one vital component of emergency evaluation is through the process of triage, where patients are evaluated according to the severity of their complaints.
Patients with life-threatening issues are given priority.
“As an association, we stand firmly committed to defending the rights of the emergency medical workers and to uphold the standard of our professional care and wish to re-emphasise our stance of zero-tolerance of any aggressive or violent behaviour toward any emergency room worker.”


com.snowtide.pdf.lucene
package provides an easy way to index PDF documents with
Apache Lucene using PDFxStream.
See {@link com.snowtide.pdf.lucene.PDFDocumentFactory}, Indexing PDF Documents with Lucene and PDFxStream, or the
lucene-pdf project readme for usage information.


--- title: 'Shopify - Products Fast Preview Using CSS3' permalink: 'shopify-products-preview-using-css' layout: post published: false featured_image: 'https://lh3.googleusercontent.com/-9LhlW9hps3s/VjBcgLCbtmI/AAAAAAAABjw/DQZY1I6lSgQ/s0/2015-10-28_09-17-40.gif' short_description: |
How to add fast preview for product images in Shopify. Sometimes the product image too small, or customers want to see the details on it, for that they have to go into that product page, or if theme support "quick view" then click on it, wait for ajax call end and then see the product.
In this article we will show how to solve this problem and make customers happy.
---How to add fast preview for product images in Shopify. Sometimes the product image too small, or customers want to see the details on it, for that they have to go into that product page, or if theme support "quick view" then click on it, wait for ajax call end and then see the product.
The method is using css3 to zomm the product image, so every time customers hover on product image, it will be fast and smoothly zoomed, and the shop customer can see the all products on page very qucikly without going into the product page every time.
But what if the customer want just to zoom a bit the image to see the details on it, especially if the product is T-Shirt with print on it.
Customer has to spend too much time every time checking the product. {% highlight liquid %} {% raw %} {% for tag in collection.all_tags %}


Data to actionable visual insights
Business Intelligence - Data Analytics - Data Visualization
We combine our BI technical and business domain expertise to design and build robust dashboard and reporting solutions for your business needs. Further we incorporate mobile capability to grab reports on the go. Our specific product expertise includes Tableau, Alteryx, Power BI, MicroStrategy, QlikView and Sisense.
Learn MoreWe build interactive and engaging data visualization/visual analytics tool to better communicate meaningful insights in a visually pleasing way. Whether you are a domain expert or want us to deliver infographics for public audience we always place end users in center of our design process and build usable visualizations.
Learn MoreWe love to dig into your data and bring them to life. Have loads of data and do not know what to do? you can rely on us to unlock the potential of your data to gain competitive advantage and make sound business decisions. We are always happy to donate our expertise and work with non-profit organizations to solve humanitarian issues.
Learn MoreYatta Consulting is a BI and analytics consulting company founded by Jansi Thiyagarajan. We work with both open source and commercial tools to deliver best BI, visualization and analytics solutions to our clients. Particularly, we specialize in providing hybrid solutions to deliver scalable and innovative visual analytics tools.
We have diverse experience of working in sectors such as Finance, e-commerce, Life Sciences, Travel and non-profit entities.


Komodo
kmdlabs
Please read pinned messages
100 messages
Before 05-Dec-19 12:00 AM
Exile13
23-May-19 04:06 PM
@phm87
ty
1
CrisF
23-May-19 08:31 PM
Hi, The survey is for KMD NNs
@Exile13
. It can be found here:
https://discordapp.com/channels/412898016371015680/458276887962189827
1
Alright
24-May-19 01:42 AM
@LabsAssistant
if you're changing your pubkey, please submit a PR within the next ~6 hours or so
Does anyone have a list of who is pledging funding from an NN?
want to start organizing how we'll handle this multisig
Alright
24-May-19 02:18 AM
@blackjok3r
I want to get these oracles changes into master prior to launch
just start the chain post-activation
CrisF
24-May-19 02:18 AM
Hi
@Alright
, I'll pr before the deadline. Will have a chance to check this afternoon/evening for who pledged. If it's not too urgent Ill do it then.
Alright
24-May-19 02:19 AM
not so urgent, just had someone messaging me asking where to send donations
don't want to leave them waiting too long
CrisF
24-May-19 02:20 AM
OK, will check in a bit.
Alright
24-May-19 02:24 AM
@CrisF
you think we should get the ANN up now?
realize it's still not 100%, but would be nice to make the post
before
launch
I can put it up if there isn't anything else we need to change
Exile13
24-May-19 02:26 AM
Need graphics?
CrisF
24-May-19 02:26 AM
Yeah, that would be good I'd say. Apparently there are a few reccomended techniques/timing strategies for posting.
Alright
24-May-19 02:26 AM
like?
not sure
@Exile13
CrisF
24-May-19 02:27 AM
Haven't checked the state of the ANN. Will look soon.
Exile13
24-May-19 02:27 AM
Lmk
CrisF
24-May-19 02:27 AM
Some simple graphic would be good
Alright
24-May-19 02:27 AM
reccomended techniques/timing strategies for posting
?
Exile13
24-May-19 02:28 AM
I would post to blockfolio, then tweet that
CrisF
24-May-19 02:28 AM
Will you be around in a few hours,
@Exile13
?
Exile13
24-May-19 02:28 AM
Yes
@CrisF
CrisF
24-May-19 02:29 AM
Cool, I'll give you shout when I get back. Thanks!
Exile13
24-May-19 02:29 AM
Or medium blog to tweet
Np
I post for THC on everything, can do KMDLabs too if you give me access
1
CrisF
24-May-19 02:30 AM
@Alright
yes, apparently doing the timing right will help in the future for adding modifying. (for BITCOINTALK)
(edited)
Alright
24-May-19 02:32 AM
figure we get it up then do 3-4
[reserved]
posts right away
can use them for updates and such
1
CrisF
24-May-19 02:32 AM
Yeah, that's the one.
Alright
24-May-19 02:32 AM
ok I'll hold off, still not sure what optimal timing is
Exile13
24-May-19 02:33 AM
Can create a template for announcements
.psd file
Alright
24-May-19 02:33 AM
you have a gitlab account? Will show you what we have so far
Exile13
24-May-19 02:33 AM
No, I can make one
CrisF
24-May-19 02:33 AM
You can sign in with github, too.

Exile13
24-May-19 02:35 AM
Yes
Ya I made a gitlab already, @exile13
(edited)
Alright
24-May-19 02:36 AM
@gcharang
can you add him please
1
Cris we aren't "maintainers" on the repo, can't add people
CrisF
24-May-19 02:37 AM
Ahh, yeah think it's private so I couldn't add you.
Exile13
24-May-19 02:38 AM
Np would need text to fill
CrisF
24-May-19 02:38 AM
@Exile13
may e something simple and not too flashy with the
KMDLabs
?
(edited)
Alright
24-May-19 02:39 AM
https://gitlab.com/Alrighttt/labs-ann
forked it and added you
Sign in
GitLab.com
Exile13
24-May-19 02:39 AM
Ok
Alright
24-May-19 02:39 AM
you should be able to see that
does this even need to be private?
CrisF
24-May-19 02:39 AM
I'll get the text too you in a while exile13
Alright
24-May-19 02:40 AM
he should be able to see that now, might need to check your email and accept invite
Exile13
24-May-19 02:40 AM
Yes
CrisF
24-May-19 02:40 AM
Not sure. Up to maintainer I'd say.
Exile13
24-May-19 02:40 AM
I can copy from the Ann post
@CrisF
ty
@Alright
(edited)
1
CrisF
24-May-19 02:41 AM
Pls add me too (to fork)
@Alright
(edited)
It might change depending on if it's finished or not.
@Exile13
(edited)
Alright
24-May-19 02:42 AM
done
CrisF
24-May-19 02:42 AM
TY
Alright, do you have an account that can post to Bitcoin talk?
I have one from Sept that I built up to post. It might be OK. (haven't tried outside of noob zone)
Alright
24-May-19 02:45 AM
No, would be making one
CrisF
24-May-19 02:45 AM
Takes forever.
Alright
24-May-19 02:45 AM
what does? creating an account?
CrisF
24-May-19 02:45 AM
Yeah.
Alright
24-May-19 02:46 AM
I have a few older ones, none I'd want to use for it though
CrisF
24-May-19 02:46 AM
OK, I'll check the one I made.
Alright
24-May-19 02:46 AM
how long is "forever"?
Exile13
24-May-19 02:46 AM
At least 42sec
1
CrisF
24-May-19 02:47 AM
Forget, but whe. I started needed a certain numBer of post in noob area.
Alright
24-May-19 02:47 AM
Ah right, let me look at my older ones and see if any are suitable
otherwise you can do it from your's?
Exile13
24-May-19 02:48 AM
& there's a second time delay requirement between posts
CrisF
24-May-19 02:48 AM
Yeah, I'll Che k it when back.
Exile13
24-May-19 02:48 AM
360sec
Alright
24-May-19 02:52 AM
@blackjok3r
what do you think about dilithium on main chain?
too late?
wouldn't mind having the handles thing on main chain
CrisF
24-May-19 02:52 AM
@Exile13
, the ANN is focused on bringing devs, tester and projects here to Labs (discord).
Exile13
24-May-19 02:53 AM
Alright
24-May-19 02:53 AM
target audience is 1. people trying to build custom assetchains 2. people trying to learn how to break/build shit
(edited)
Exile13
24-May-19 03:03 AM
Exile13
24-May-19 03:35 AM
the direction im going
https://imgur.com/a/9keaavS
critique plz
inspired by reef colors, at extreme pressure or under certain light the life in the sea comes alive with vivid colors, kinda like coding
https://tinyurl.com/y6db4uva
its always there but cant always perceive it
& the techies like bright on black in my experience
this is turning into an infographic, we want a "OPEN FOR BIZ" post instead right, not too much type? or yes we want type?
Alright
24-May-19 03:49 AM
not sure what you mean
did you see the ANN we had on gitlab?


The truest freedom is of the mind, a conscious act to embrace the unknown
courage, persistence & love
ENFJ, "The Giver"
Growing up, I have always loved building things with random materials. Luckily, the software world has equipped me with this superpower to build products with bare hands that impact millions of lives. I have learned many useful skills to put this love in action. However, there is still so many unknowns to explore. If you are making an impact to millions of lives with technology, talk to me! I would love to help :)
Managed 6 ongoing projects on Core Product and Experimentation teams with 20+ team members
Social Intelligence Analyst, Uber
Built out Uber's crisis management process and designed tools to automate social intelligence research
Associate Product Marketing Manager, Facebook
Automated ad portfolio optimization for Global Sales Operations (GSO) and increased product marketing efficiency at a scale
Co-founder, ConNextor
Led business and product aspects of ConNextor to create a platform that students can discover projects and career opportunities
Product Manager, Zynga
Independently led game team Chess with Friends and became the first PM intern on Zynga Poker
Growth Strategist, Uken Games
Increased ad revenue by 40% and acquired millions of users
Co-Founder, Soapbox
Built a skilled volunteer matching platform used by the UN Foundations
Advisor, CUTC 2016
Oversaw the entire conference and increased ticket sales by 90%
President, Spice Creation
Built a team of 6 with 15 freelancers across design, development and marketing to deliver affordable and customized solution
Marketing Consultant Intern, DYTREM
Managed and planned for existing projects as well as expanded new markets
Marketing Coordinator, University of Waterloo
Planned and managed promotion strategy and events for uWaterloo Housing
Founding Community Director (Canada), Kairos Society
Kairos Society brings the world's most influential leaders & corporations with the young innovators to solve world challenges
Canadian Youth Representative, Nexus
Nexus is a global movement of 2000+ investors and social entrepreneurs to increase and make more social impact investing
Entreprenur in Residence (ConNextor), Communitech
Communitech is a technology incubator that are accelerating tomorrow’s global companies
Entreprenur in Residence, Velocity
Velocity Residence provides resources for University of Waterloo students with a strong entrepreneurial drive
Entreprenur in Residence (ConNextor), LaunchPad
Launchpad is a university incubator that accelerates innovation by providing mentorship and office spaces
Co-founder @ ConNextor
2015.01 - 2016.10
Overview
ConNextor is a collaborative platform that nurture the new generation of global shapers, makers and leaders through innovative projects. It tracks user accomplishment throughout and match them up with mentors that help them building and growing
Highlights
Started ConNextor in Januarary, 2015 and has grown from me and my CTO as a side project to a team of 7 bright developers, designers and marketers
Organized our first pilot program in August with 9 exciting companies including Uber, Square and Quora
Interviewed over 50 engineering, design and business students (our direct users) as well as 15 organizations (our direct customers) for Branding and User Experience validation
Grown our student network to over 10,000 top notch talents from schools like MIT, UC Berkeley, through relationships with other student organizations, institutions and conferences , uWaterloo etc.
Co-founded a skill-based Volunteer matching platform to connect talents with charities globally
Highlights
Built relationships with 109 charities including Salvation Army
Gained 611 high quality volunteers with staff from companies like Uber, Google etc.
Established sponsorship relationships with over 10 international brands including Unilever and Forever 21
Secured fiscal sponsorship to temporarily issue tax receipts
Internalized by United Nation Foundation as part of the the UN volunteers with reach in over 130 countries
President @ Spice Creation
2014.04 - 2015.12
DELIVERING THE FINEST SMALL-MEDIUM BUSINESS MARKETING
Managed a team of 6 elite marketers and designers with 15 freelancers in design and development to offer:
HOSPITALITY MARKETING
BUSINESS ANALYSIS
MARKETING CONSULTING
CORPORATE SOCIAL RESPONSIBILITY CONSULTING
WEB DESIGN
LOGO
POSTER
BANNER
REVIEW SITE MANAGEMENT
SOCIAL MEDIA SETUP
SOCIAL MEDIA ENGAGEMENT
CAMPUS ADVERTISING
PHOTOGRAPHY AND EDITING
VIDEOGRAPHY
EVENT PLANNING
Offline Marketing
Growth Strategist @ Uken Games
2015.01 - 2015.05
Highlights
Increased Uken’s Ad revenue by over 40% through partnership & country distribution optimization
Acquired over millions of users with a small team of 3 for Titans and got app store featured in over 100 countries
Managed digital distribution channels across 9 digital distribution channels including Facebook and Twitter and maintained the Cost per Install (CPI) 60% lower than average mid-core games’ CPI whilce keeping a 10% day 1 ROI
Designed and initiated an influencer campaign with over 700 relevant influencers and over 12 million potential reach at no monetary cost
Designed learning reporting system for user acquisition as well as management/analysis system for email & push notification
Independently led the game team, Chess with Friends; organically increased its DAU by 20% and the number of games played by 9% within a month by developing social sharing and matching features
Redesigned the viral channel system and the event feature for Zynga Poker with an EO of +$10,000 daily revenue and +10% DAU
Investigated abnormal game behaviors using SQL and data analysis to fix revenue drops for Zynga Poker
Executed different ongoing projects and communicated with various levels of management within the corporation and with clients; eg. Made a three-year workforce plan for a large telecommunication firm with over 1500 local employees from data analysis to strategic planning
Led the company into the Chinese market with market know-how and has generated warm leads over 2 million potential value of closing
Developed strategic marketing plan and managed content creation to enhance company awareness; saved the company over $20,000 on video production
Advisor @ Canadian Undergraduate Tech Conference 2017
2016.02 - 2016.05
Highlights
Oversaw and directed all aspects of the event including event planning, speaker relationship, logistics, marketing and many more
Developed key speakers including CEOs and executives from top innovative companies like Khan Academy, BCG and Kik
Increased ticket sales by over 90% (compared against historical conferences)
Oversaw the entire conference and increased ticket sales by 90%
Automated ad portfolio optimization for Global Sales Operations (GSO) with 30% increase on direct response optimality and 9% increase on brand optimality
Broke Facebook Lead Ad’s growth bottleneck with targeted adoption plans and customized resource bank for over 300 Global Sales Operation (GSO) clients driving adoption to increase by over 15%
Built a product assistant bot for account managers to perform tasks such as product training, portfolio health checking and beta whitelisting
One of my projects - Portfolio Health Automation
Problem
Given GSO staff’s busy schedules and other priorities, enabling them to improve clients’ ad portfolios effortlessly
Context
As a company, the sales strategy is to help our clients gain more value through their ads so we can gain more profits on the long run. However, the sales teams often neglect this and focus more on their immediate sales quota.
Metrics
Facebook has its own metrics to evaluate how efficient and effective our advertisers are bidding on our platforms:
Direct Response Optimality: Indicator to show if a direct response ad (targeting on things like website visits, conversions etc.) is bidding optimally.
Brand Optimality: Indicator to show if a brand ad (targeting on things like brand awareness) is bidding optimally.
These two indicators take into account many factors such as the alignment between ad product and ad objective and clients’ pixel/conversion tracking. Based on the characteristics of different industries in different geos, there are standards of what’s considered as optimal. The metrics we will use to evaluate the success in this case would be the % of DR Optimal and % of Brand Optimal.
Research
Investigated clients’ portfolio health by industries, companies, impact sizes etc.
Analyzed common hurdles that clients encounter and sort solution kit accordingly
Surveyed and Interviewed sales representatives from various industries
Solution
Built an automated reporting system that would monitor and summarize clients’ portfolio health and rank issues by dollar impact. Customized emails with accounts, issues, dollar impacts and solutions would be sent out on a scale to account managers that they can then easily prioritize and forward those reports to their clients to facilitate any improvements.
Result
Achieved 30% increase on direct response optimality and 9% increase on brand optimality.
Moved both stats from underperforming to be over-goal within a month
(Image blurred out for confidentiality reason)
Social Intelligence Analyst @ Uber
2017.09 - 2017.12
Highlights
Designed and implemented a social listening tool using NLP and machine learning technologies to collect and analyze data across the web supporting 30+ company-wide strategic and product initiatives
Created the crisis management process at Uber including automated alerts and crisis impact prediction, reducing crisis response times by 88%
Scaled Uber’s social research capabilities internationally to markets in APAC, LATAM and EMEA
Product Manager @ Credit Karma
2018.06 - 2018.08
Highlights
Owned the credit coaching product and created a framework that allows new coaching features to be implemented at no dev cost, activating the potential to reach 85M users and $2.5M revenue lift
Initiated the money advice hub that brought 2x click-through to loan and other financial products
Led all ongoing projects as the only product manager on Credit Health team with 20+ team members
Led experiment design and implementation on Learning and Optimization team
ONE OF MY PROJECTS - CREDIT COACHING ACTIONS
Context
50%+ of credit karma users come to the site to only to improve their scredit scores. However, the company currently only displays free credit scores along with generic credit factor information. A lot of users especially users with limited understanding about credit find those overwhelming.
Problem
Help members to understand what it takes to improve their credit scores and encourage them to act upon those.
The side effect of this should create better retention for the company in the long term.
Metrics
Feature reach: Number of eligible members
Members' take rate on those actions
Feature Retention
Overall Retention
Solution
Built a credit coaching feature that provides members targeted action items to take to improve their score.
Action cards provide a completed experience from suggestion, status updates to completion feedbacks.
(Detailed images are not shown for confidentiality since feature is not fully ramped yet)
Achievement/Early Result
Designed and implemented 3 full experiences actions with the team
One of the action items is tested in another format. From that, we saw 26% frequency lift and 20% revenue lift.
Put together an action backlog that can reach 85M of our members in relevant ways
Set up the capabilities to do quick experimentation with the feature: simplified new action cards can be rolled out with no dev work, reducing production time by 99.8%


Open the Redux Devtool, see the ChangedA/B/C messages, see the diffs shows nulls as does the state.
Switch to the console, run require('../renderer/Store').getState() and see the state is different than what is shown in the devtool
require('../renderer/Store').getState()


What about if I'm sick already?
A study by Dickstein et al. showed that when injected with TNF-cytokine, which is a signaling protein released when one is sick, sheep tended to sleep more than they normally would. That shows that the sleepiness and fatigue associated with illness is to some degree caused by your own body, which allows us to expect that this was a result of evolution, and that sleep is important for recovery when one is already sick.


Sep 24, 2022
by Jack Johnson • Lesson #454
$ Song Sheet
Sep 10, 2022
by Bob Dylan (feat. Johnny Cash) • Lesson #452
Aug 20, 2022
by Bill Withers • Lesson #450
$ Sheet Music
Aug 12, 2022
by Johnny Cash • Lesson #449
July 23, 2022
by Crosby, Stills & Nash • Lesson #446
July 14, 2022
by Guy Clark • Lesson #445


[1] Windows only blame consumers for Mac can point it compact and sleek.
[2] Windows only blame consumers for Mac can point it compact and sleek light weight geforce gpu in which to feature hd audio up volume without turning up when available is leaps and bass than Ipod and bounds ahead of an attractive trait.


Checks JavaScript
declaration
to be declared once in
current
scope. The validation works in Java Script, html or jsp files.


Contest Intro and Prizes: This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum auctor.
- This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet.
- This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet.
- This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet.
- This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet.


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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface Expander
Expanders are extension points for expanding expressions in DRL at parse time. This is just-in-time translation, or macro expansion, or whatever you want. The important thing is that it happens at the last possible moment, so any errors in expansion are included in the parsers errors. Just-in-time expansions may include complex pre-compilers, or just macros, and everything in between. Expanders should ideally not make presumptions on any embedded semantic language. For instance, java aware pre processing should be done in drools-java semantic module, not in the parser itself. Expanders should be reusable across semantic languages.
| Method Summary | |
|---|---|
void |
addDSLMapping(DSLMapping mapping)
Add the new mapping to this expander. |
java.lang.String |
expand(java.io.Reader drl)
Expands (process) the expression Just-In-Time for the parser. |
java.lang.String |
expand(java.lang.String source)
Expands (process) the expression Just-In-Time for the parser. |
java.util.List |
getErrors()
Returns the list of errors from the last expansion made |
boolean |
hasErrors()
Returns true in case the last expansion had any errors |
| Method Detail |
|---|
java.lang.String expand(java.io.Reader drl) throws java.io.IOException
java.io.IOException
drl
- the source code to be pre-processed
java.lang.String expand(java.lang.String source)
source
- the source code to be expanded
void addDSLMapping(DSLMapping mapping)
mapping
- java.util.List getErrors()
ExpanderException
boolean hasErrors()
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% extends 'all-pics/base.html' %} {% block content %} {{block.super}} {% for images in pics_by_location %}
Photos taken in {{ images.location.loct }}
{{ images.description | truncatechars:50 }}...


Thank you for downloading the FIFA 2018 World Cup Live Notifications extension for Chrome.
- Get notifications on important events in the match as the game progresses. These will be unobtrusive and will self-destruct in 10 seconds.
- Click on the Extension icon at any time to view the most recent, live and upcoming matches of the tournament
Hope you enjoy the world cup season !!
FAQ
I use Mac and notification text seems to be chopping off
Chrome switched to native notifications by default from version 59. You can disable native notifications by going to chrome://flags/ and setting "Enable native notifications" option to "Disabled"
All data provided by FIFA
Designed & Developed by Uday Kumar Pyda


NuiTextboxModule
To use the textbox component add an <nui-textbox>
to your template. Optionally, you can set an initial value via the
value
input.
To add a placeholder to your textbox, set the placeholder
input to the desired string value.
To disable the textbox, set the disabled
input to true.
To make the textbox readonly, set the readonly
input to true.
To manually set the textbox to an invalid value state, pass true to the isInErrorState
input. Note that this input is only about styling. If
a textbox with built-in validation is needed, please wrap your textbox in an
<nui-form-field>
.
To add a hint underneath the textbox, wrap <nui-textbox>
in an <nui-form-field>
component and set
<nui-form-field>
's hint
input to the desired hint string.
To apply a hoverable "additional info" icon to the textbox, wrap <nui-textbox>
in an <nui-form-field>
component and set <nui-form-field>
's info
input to the desired info string.
To create a textarea set the rows
input to the desired number of textarea rows.
Note: To make textarea scrollable, add textarea-scrollable
class to the nui-textbox
element.
Textbox can have a custom width. To configure it, set the customBoxWidth
input to a css-style size value, e.g. "200px", "10vw".
You can use binding to the valueChanged
output (emits after input was changed) to get a value from a textbox component


Unlike the Linux From Scratch book, BLFS isn't designed to be followed in a linear manner. This is because LFS provides instructions on how to create a base system which is capable of turning into anything from a web server to a multimedia desktop system. BLFS attempts to guide you in the process of going from the base system to your intended destination. Choice is very much involved.
Everyone who reads the book will want to read certain sections. The Introduction part, which you are currently reading, contains generic information. Especially take note of the information in Chapter 2, Important Information, as this contains comments about how to unpack software, issues related to using different locales and various other aspects which apply throughout the book.
The part on Post LFS Configuration and Extra Software is where most people will want to turn next. This deals with not just configuration but also Security (Chapter 4, Security), File Systems (Chapter 5, File Systems and Disk Management), Editors (Chapter 6, Editors) and Shells (Chapter 7, Shells). Indeed, you may wish to reference certain parts of this chapter (especially the sections on Editors and File Systems) while building your LFS system.
Following these basic items, most people will want to at least browse through the General Libraries and Utilities part of the book. This part contains information on many items which are prerequisites for other sections of the book as well as some items (such as Chapter 13, Programming) which are useful in their own right. Note that you don't have to install all of these libraries and packages found in this part to start with as each BLFS installation procedure tells you which packages it depends upon so you can choose the program you want to install and see what it needs.
Likewise, most people will probably want to look at the Networking part. It deals with connecting to the Internet or your LAN (Chapter 14, Connecting to a Network) using a variety of methods such as DHCP and PPP, and with items such as Networking Libraries (Chapter 17, Networking Libraries) and various basic networking programs and utilities.
Once you have dealt with these basics, you may wish to configure more advanced network services. These are dealt with in the Servers part of the book. Those wanting to build servers should find a good starting point there. Note that this section also contains information on various database packages.
The next parts of the book principally deal with desktop systems. This portion of the book starts with a part talking about X plus Window and Display Managers. This part also deals with some generic X-based libraries (Chapter 25, X Libraries). After this, KDE and GNOME are given their own parts which are followed by one on X Software.
The book then moves on to deal with Multimedia packages. Note that many people may want to use the ALSA-1.2.2 instructions from this chapter quite near the start of their BLFS journey; they are placed here simply because it is the most logical place for them.
The final part of the main BLFS book deals with Printing, Scanning and Typesetting. This is useful for most people with desktop systems and even those who are creating mainly server systems will find it useful.
We hope you enjoy using BLFS and find it useful.
Last updated on 2012-12-19 13:57:20 -0600


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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
| Interface Summary | |
|---|---|
| AdjacencyMatrix | A social network adjacency matrix. |
| Edge | A interface for all edge objects (as in nodes and edges). |
| NetworkConstants | Constants used by the network package. |
| NetworkMatrixFormatter | A formatter interface for network matrices. |
| NetworkMatrixReader | Interface for reading a network matrix. |
| Node | A simple interface for a graph node in a networked space. |
| ProbabilityRule | The ProbabilityRule is used to calculate the probability of objects with respect to another where that probability can be updated over time. |
| Class Summary | |
|---|---|
| AbstractAdjacencyMatrix | |
| AbstractProbabilityRule | Implements some generic functionality for ProbabilityRule-s. |
| AdjacencyBitMatrix | |
| AdjacencyByteMatrix | A social network adjacency matrix. |
| AdjacencyDoubleMatrix | A social network adjacency matrix. |
| AdjacencyMatrixFactory | |
| ASCIIFormatter | Formats AdjacencyMatrices into a comma delimited plain text format. |
| DefaultDrawableEdge | A drawable edge between two nodes. |
| DefaultDrawableNode | |
| DefaultEdge | An edge between two nodes. |
| DefaultNode | A simple graph node that is a default implementation of Node. |
| DefaultNode.OrderedHashMap | HashMap that keeps an ordered list of its keys. |
| DegNetGenerator | Generates an adjacency matrix given a mean degree, a variance, and a list of probilities. |
| DlFormatter | Formats AdjacencyMatrices into dl format. |
| DlReader | Matrix reader for UCINET dl format files. |
| EdgeFactory | Utility methods for creating Edges. |
| ExcelFormatter | Formats AdjacencyMatrices into ExcelFormat. |
| ExcelMatrixReader | |
| Linker | Creates links between nodes based on some ProbabilityRule . |
| NetUtilities | Performs various common operations on passed networks and returns them, and/or returns a statistic on a passed network and returns the result. |
| NetworkConvertor | Utility class to convert one kind of network representation to another. |
| NetworkFactory | Creates a list of nodes with their links from various sources. |
| NetworkPath | |
| NetworkRecorder | Records a network as a matrix or matrices in the appropriate format. |
| PajekNetReader | Class for constructing networks from text files in Pajek's *.net Arc/Edge list file format. |
| RandomDensityNet | Creates a RandomDensityNetwork. |
| RolfeNet | |
| ShortestNetworkPath | |
| SquareLatticeNet | Creates a square lattice network. |
| UniformReinforcement | A ProbabiltyRule that implements uniform reinforcement. |
|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
CustomRewardModel.rewardFunction |
protected RewardFunction |
RewardValueProjection.rf |
| Constructor and Description |
|---|
CustomRewardModel(SampleModel model,
RewardFunction rewardFunction) |
CustomRewardNoTermModel(SampleModel model,
RewardFunction rewardFunction) |
RewardValueProjection(RewardFunction rf)
Initializes for the given
RewardFunction assuming that it only depends on the destination state. |
RewardValueProjection(RewardFunction rf,
RewardValueProjection.RewardProjectionType projectionType)
Initializes.
|
RewardValueProjection(RewardFunction rf,
RewardValueProjection.RewardProjectionType projectionType,
SADomain domain)
Initializes.
|
| Modifier and Type | Method and Description |
|---|---|
static RewardFunction |
ApprenticeshipLearning.generateRewardFunction(DenseStateFeatures featureFunctions,
burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.FeatureWeights featureWeights)
Generates an anonymous instance of a reward function derived from a FeatureMapping
and associated feature weights
Computes (w^(i))T phi from step 4 in section 3
|
| Modifier and Type | Class and Description |
|---|---|
class |
LinearStateActionDifferentiableRF
A class for defining a state-action linear
DifferentiableRF . |
class |
LinearStateDifferentiableRF
A class for defining a linear state
DifferentiableRF . |
| Modifier and Type | Class and Description |
|---|---|
class |
DiffVFRF
A differentiable reward function wrapper for use with
MLIRL when
the reward function is known, but the value function initialization for leaf nodes is to be learned. |
class |
LinearDiffRFVInit
A class for creating a
DifferentiableRF and
a DifferentiableVInit
when the reward function and value function initialization are linear functions over some set of features. |
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
DiffVFRF.objectiveRF |
| Constructor and Description |
|---|
DiffVFRF(RewardFunction objectiveRF,
DifferentiableVInit diffVinit) |
| Modifier and Type | Interface and Description |
|---|---|
interface |
DifferentiableRF
An interface for defining differentiable reward functions.
|
| Constructor and Description |
|---|
TimeIndexedTDLambda(RewardFunction rf,
TerminalFunction tf,
double gamma,
HashableStateFactory hashingFactory,
double learningRate,
double vinit,
double lambda,
int maxEpisodeSize)
Initializes the algorithm.
|
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
PotentialShapedRMax.modeledRewardFunction
The modeled reward function that is being learned.
|
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
PotentialShapedRMax.getModeledRewardFunction()
Returns the model reward function.
|
| Constructor and Description |
|---|
WeightedGreedy(SADomain domain,
RewardFunction rf,
StateConditionTest gc,
HashableStateFactory hashingFactory,
Heuristic heuristic,
double costWeight)
Initializes the valueFunction.
|
| Constructor and Description |
|---|
QMDP(PODomain domain,
RewardFunction rf,
TerminalFunction tf,
double discount,
HashableStateFactory hashingFactory,
double maxDelta,
int maxIterations)
Initializes and creates a
ValueIteration planner
to solve the underling MDP. |
| Modifier and Type | Class and Description |
|---|---|
class |
ShapedRewardFunction
This abstract class is used to define shaped reward functions.
|
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
ShapedRewardFunction.baseRF
The base objective reward function for the task.
|
| Constructor and Description |
|---|
ShapedRewardFunction(RewardFunction baseRF)
Initializes with the base objective task reward function.
|
| Modifier and Type | Class and Description |
|---|---|
class |
PotentialShapedRF
This class is used to implement Potential-based reward shaping [1] which is guaranteed to preserve the optimal policy.
|
| Constructor and Description |
|---|
PotentialShapedRF(RewardFunction baseRF,
PotentialFunction potentialFunction,
double discount)
Initializes the shaping with the objective reward function, the potential function, and the discount of the MDP.
|
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
BlockDude.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
BlockDude.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
BlockDude.setRf(RewardFunction rf) |
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
BlocksWorld.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
BlocksWorld.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
BlocksWorld.setRf(RewardFunction rf) |
| Modifier and Type | Class and Description |
|---|---|
static class |
CartPoleDomain.CartPoleRewardFunction
A default reward function for this task.
|
static class |
InvertedPendulum.InvertedPendulumRewardFunction
A default reward function for this domain.
|
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
InvertedPendulum.rf |
protected RewardFunction |
CartPoleDomain.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
InvertedPendulum.getRf() |
RewardFunction |
CartPoleDomain.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
InvertedPendulum.setRf(RewardFunction rf) |
void |
CartPoleDomain.setRf(RewardFunction rf) |
| Modifier and Type | Class and Description |
|---|---|
class |
FrostbiteRF |
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
FrostbiteDomain.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
FrostbiteDomain.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
FrostbiteDomain.setRf(RewardFunction rf) |
| Modifier and Type | Class and Description |
|---|---|
class |
GraphRF
|
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
GraphDefinedDomain.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
GraphDefinedDomain.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
GraphDefinedDomain.setRf(RewardFunction rf) |
| Modifier and Type | Class and Description |
|---|---|
class |
GridWorldRewardFunction
This class is used for defining reward functions in grid worlds that are a function of cell of the world to which
the agent transitions.
|
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
GridWorldDomain.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
GridWorldDomain.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
GridWorldDomain.setRf(RewardFunction rf) |
| Modifier and Type | Class and Description |
|---|---|
class |
LunarLanderRF
A reward function for the
LunarLanderDomain . |
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
LunarLanderDomain.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
LunarLanderDomain.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
LunarLanderDomain.setRf(RewardFunction rf) |
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
MountainCar.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
MountainCar.getRf() |
| Modifier and Type | Method and Description |
|---|---|
void |
MountainCar.setRf(RewardFunction rf) |
| Modifier and Type | Class and Description |
|---|---|
class |
GoalBasedRF
A reward function implementation designed around goal conditions that are specified by a
StateConditionTest object
or a TerminalFunction . |
class |
NullRewardFunction
This class defines a reward function that always returns 0
|
class |
SingleGoalPFRF
This class defines a reward function that returns a goal reward when any grounded form of a propositional
function is true in the resulting state and a default non-goal reward otherwise.
|
class |
UniformCostRF
Defines a reward function that always returns -1.
|
| Modifier and Type | Field and Description |
|---|---|
protected RewardFunction |
FactoredModel.rf |
| Modifier and Type | Method and Description |
|---|---|
RewardFunction |
FactoredModel.getRf() |
RewardFunction |
TaskFactoredModel.rewardFunction()
Returns the
RewardFunction this model uses to compute rewards |
RewardFunction |
FactoredModel.rewardFunction() |
| Modifier and Type | Method and Description |
|---|---|
void |
FactoredModel.setRf(RewardFunction rf) |
void |
TaskFactoredModel.useRewardFunction(RewardFunction rf)
Tells this model to use the corresponding
RewardFunction |
void |
FactoredModel.useRewardFunction(RewardFunction rf) |
| Constructor and Description |
|---|
FactoredModel(SampleStateModel stateModel,
RewardFunction rf,
TerminalFunction tf)
Initializes
|
Copyright © 2019. All rights reserved.


Basic example with interaction
Basic example with interaction and animations
Basic example with interaction using text
IsometricPath using drawing methods with interaction
IsometricPath using drawing commands
IsometricPath using curves
Dragging interaction with boundaries
Using textures


Toggle navigation
History of the NHS
Celebratory Events
Contact
Celebratory Events
Local events celebrating NHS 70th birthday
NHS through the ages
See how far the NHS has come
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{% load static %}
Django (/ˈdʒæŋoʊ/ JANG-goh; sometimes stylized as django)[6] is a Python-based free and open-source web framework that follows the model–template–views (MTV) architectural pattern.[7][8] It is maintained by the Django Software Foundation (DSF), an American independent organization established as a 501(c)(3) non-profit. Django's primary goal is to ease the creation of complex, database-driven websites. The framework emphasizes reusability and "pluggability" of components, less code, low coupling, rapid development, and the principle of don't repeat yourself.[9] Python is used throughout, even for settings, files, and data models. Django also provides an optional administrative create, read, update and delete interface that is generated dynamically through introspection and configured via admin models.
Anna Makarudze, President Aaron Bassett, Vice President Chaim Kirby, Secretary William Vincent, Treasurer Kátia Nakamura Mfon Eti-mfon Žan Anderle


Search interest over time:
{{wordOne}}
vs
{{wordTwo}}
As new Japanese loanwords find global currency, how do terms signifying traditional views of Japan hold up? Five word-pairs map worldwide search interest in loanwords representing older and contemporary waves of Japanophilia. Data from Google Trends.


Refined not only in design & usability, but refined to sell. The web is the new storefront. Better design, user experience and advertising increases trust in your brand and ultimately your bottom line.
That's why every web site we build, fits every desktop, laptop, tablet and phone's screens perfectly. We design separate experiences for mobile users so your customers get what they want, when they want it.


Vanaila-JS-Library-Boilerplate
Build you own library for fun and profit.
Create your library.
Tried to keep it simple.
Babel
Webpack
Yarn
ESLint
Jest
Husky
Example counter.
➖
➕


Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
Information here is provided with the permission of the ACM.
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
ACM Digital Library:ACM Transactions on Graphics (TOG) Volume 35, Issue 6 (December 2016) Proceedings of ACM SIGGRAPH Asia 2016
ACM Digital Library (DOI) Link for the paper
Paper Abstract
Author Preprint
Paper Video
Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
Indoor Scene Modeling
- Structure-oriented Networks of Shape Collections
-
Noa Fish
(Tel Aviv University),
Oliver van Kaick
(Carleton University),
Amit Bermano
(Princeton University),
Daniel Cohen-Or
(Tel Aviv University)
- Dynamic Furniture Modeling Through Assembly Instructions
-
Tianjia Shao,
Dongping Li,
Yuliang Rong
(Zhejiang University),
Changxi Zheng
(Columbia University),
Kun Zhou
(Zhejiang University)
- Action-Driven 3D Indoor Scene Evolution
-
Rui Ma,
Honghua Li,
Changqing Zou
(Simon Fraser University),
Zicheng Liao
(Zhejiang University),
Xin Tong
(Microsoft Research Asia),
Hao Zhang
(Simon Fraser University)
- Emptying, Refurnishing, and Relighting Indoor Spaces
-
Edward Zhang
(University of Washington),
Michael F. Cohen
(Facebook Inc.),
Brian Curless
(University of Washington)
Video
- 360 Video Stabilization
-
(),
(),
(),
()
- Temporally Coherent Completion of Dynamic Video
-
Jia-Bin Huang
(Virginia Tech),
Sing Bing Kang
(Microsoft Research),
Narendra Ahuja
(University of Illinois at Urbana-Champaign),
Johannes Kopf
(Facebook Research)
- Robust Background Identification for Dynamic Video Editing
-
Fang-Lue Zhang,
Xian Wu
(Tsinghua University, Beijing),
Jue Wang
(Adobe Research),
Hao-Tian Zhang,
Shi-Min Hu
(Tsinghua University, Beijing)
- Jump: Virtual Reality Video
-
Robert Anderson,
David Gallup,
Jonathan T. Barron,
Janne Kontkanen,
Noah Snavely,
Carlos Hernandez Esteban,
Sameer Agarwal,
Steven M. Seitz
(Google Inc.)
Computational Photography
- Computational Bounce Flash for Indoor Portraits
-
Lukas Murmann
(),
(),
(),
(),
(),
()
- Deep Joint Demosaicking and Denoising
-
Michael Gharbi,
Gaurav Chaurasia
(MIT CSAIL),
Sylvain Paris
(Adobe Systems Inc.),
Fredo Durand
(MIT CSAIL)
- Burst photography for high dynamic range and low-light imaging on mobile cameras
-
Samuel W. Hasinoff,
Dillon Sharlet,
Ryan Geiss,
Andrew Adams,
Jonathan T. Barron,
Florian Kainz,
Jiawen Chen,
Marc Levoy
(Google Research)
- Learning-Based View Synthesis for Light Field Cameras
-
Nima Khademi Kalantari
(University of California, San Diego),
Ting-Chun Wang
(University of California, Berkeley),
Ravi Ramamoorthi
(University of California, San Diego)
- Birefractive Stereo Imaging for Single-Shot Depth Acquisition
-
Seung-Hwan Baek
(KAIST),
Diego Gutierrez
(Universidad de Zaragoza),
Min H. Kim
(KAIST)
Shape Semantics
- Relationship Templates for Creating Scene Variations
-
Xi Zhao,
(Xi'an Jiaotong University),
Ruizhen Hu
(Shenzhen University),
Paul Guerrero,
Niloy Mitra
(University College London),
Taku Komura
(Edinburgh University)
- Shape2Vec: semantic-based descriptors for 3D shapes, sketches and images
-
Flora Tasse
(University of Cambridge),
Neil Dodgson
(Victoria University of Wellington)
- Functionality Preserving Shape Style Transfer
-
Zhaoliang Lun,
Evangelos (Vangelis) Kalogerakis,
Rui Wang
(University of Massachusetts at Amherst),
Alla Sheffer
(The University of British Columbia)
- A Scalable Active Framework for Region Annotation in 3D Shape Collections
-
Li Yi
(),
Vladimir G. Kim
(Adobe Research),
Duygu Ceylan,
I-Chao Shen
(University of British Columbia),
Mengyan Li,
Hao Su,
Cewu Lu
(Stanford University),
Qixing Huang
(Toyota Technological Institute at Chicago),
Alla Sheffer
(University of British Columbia),
Leonidas Guibas
(Stanford University)
- Example-based sketch segmentation and labeling using CRFs
-
Rosalia Galiazzi Schneider,
Tinne Tuytelaars
(K.U. Leuven)
High Resolution
- Efficient GPU Path Rendering Using Scanline Rasterization
-
Rui Li,
Qiming Hou,
Kun Zhou
(Zhejiang University)
- Pyramid of Arclength Descriptor for Generating Collage of Shapes
-
Kin Chung Kwan, Lok Tsun Sinn, Chu Han,
Tien-Tsin Wong,
Chi-Wing Fu
(The Chinese University of Hong Kong),
- GST: GPU-decodable Supercompressed Textures
-
Pavel Krajcevski,
Srihari Pratapa,
Dinesh Manocha
(University of North Carolina)
- Scalable Inside-Out Image-Based Rendering
-
Peter Hedman,
Tobias Ritschel
(University College London),
George Drettakis
(INRIA),
Gabriel Brostow
(University College London)
IEEE TVCG Invited Session on Visualization
- Feature Surfaces in Symmetric Tensor Fields Based on Eigenvalue Manifold
-
Jonathan Palacios,
Harry Yeh
(Oregon State University),
Wenping Wang
(The University of Hong Kong),
Yue Zhang
(Oregon State University),
Robert S. Laramee
(Swansea University),
Ritesh Sharma
(Oregon State University),
Thomas Schultz
(University of Bonn),
Eugene Zhang
(Oregon State University)
- Online Visual Analytics of Text Streams
-
Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao,
Jian Pei
(Simon Fraser University)
- Embedding Spatio-temporal Information into Maps by Route-Zooming
-
Guodao Sun,
Ronghua Liang
(Zhejiang University),
Huamin Qu
(The Hong Kong University of Science and Technology),
Yingcai Wu
(Zhejiang University)
Scanning & Tracking People
- Corrective 3D Reconstruction of Lips from Monocular Video
-
Pablo Garrido,
Michael Zollhoefer
(Max Planck Institute for Informatics),
Chenglei Wu
(ETH Zurich),
Derek Bradley
(Disney Research),
Patrick Perez
(Technicolor),
Thabo Beeler
(Disney Research),
Christian Theobalt
(Max Planck Institute for Informatics)
- Model-Based Teeth Reconstruction
-
Chenglei Wu
(ETH Zurich),
D. Bradley
(Disney Research),
Pablo Garrido,
M. Zollhofer,
C. Theobalt
(Max-Planck-Institut fur Informatik),
Markus Gross,
T. Beeler
(Disney Research)
- High-Fidelity Facial and Speech Animation for VR HMDs
-
Kyle Olszewski
(University of Southern California),
Joseph J. Lim
(Stanford University),
Shunsuke Saito,
Hao Li
(University of Southern California)
- Sphere Meshes for Real-Time Hand Modeling and Tracking
-
Anastasia Tkach,
Mark Pauly
(EPFL),
Andrea Tagliasacchi
(University of Victoria)
Sound & Pattern Synthesis
- Interactive Sound Propagation with Bidirectional Path Tracing
-
Chunxiao Cao,
Zhong Ren
(Zhejiang University),
Carl Schissler,
Dinesh Manocha
(University of North Carolina),
Kun Zhou
(Zhejiang University)
- Crumpling Sound Synthesis
-
Gabriel Cirio
(Universidad Rey Juan Carlos),
Dingzeyu Li
(Columbia University),
Miguel Otaduy
(Universidad Rey Juan Carlos),
Eitan Grinspun,
Changxi Zheng
(Columbia University)
- gTangle: a Grammar for the Procedural Generation of Tangle Patterns
-
Christian Santoni,
Fabio Pellacini
(Sapienza University of Rome)
- Representing and Scheduling Procedural Generation using Operator Graphs
-
Pedro Boechat
(TU Graz),
Mark Dokter
(MPI Informatik),
Michael Kenzel
(TU Graz),
Hans-Peter Seidel
(MPI Informatik),
Dieter Schmalstieg
(TU Graz),
Markus Steinberger
(MPI Informatik)
- Printone: Interactive Resonance Simulation for Free-form Print-wind Instrument Design
-
Nobuyuki Umetani
(Autodesk Research),
Athina Panotopoulou
(Dartmouth College),
Ryan Schmidt
(Autodesk Research),
Emily Whiting
(Dartmouth College)
IEEE TVCG Invited Session on Augmented and Virtual Reality
- Diminished Reality Based on Image Inpainting Considering Background Geometry
-
Norihiko Kawai,
Tomokazu Sato,
Naokazu Yokoya
(Nara Institute of Science and Technology (NAIST))
- Gaussian Light Field: Estimation of Viewpoint-Dependent Blur for Optical See-Through Head-Mounted Displays
-
Yuta Itoh
(TU Munich),
Toshiyuki Amano
(Wakayama Univ.),
Daisuke Iwai
(Osaka Univ.),
Gudrun Klinker
(TU Munich)
- A Real-time Augmented Reality System to See-Through Cars
-
Francois Rameau
Hyowon Ha
Kyungdon Joo
Jinsoo Choi
Kibaek Park
In So Kweon
(Korea Advanced Institute of Science and Technology (KAIST))
- Simultaneous Localization and Appearance Estimation with a Consumer RGB-D Camera
-
(),
(),
(),
(),
(),
()
Parameterization & Remeshing
- Bounded Distortion Parametrization in the Space of Metrics
-
Edward Chien
(Bar-Ilan University),
Zohar Levi
(Victoria University of Wellington),
Ofir Weber
(Bar-Ilan University)
- Computing Inversion-Free Mappings by Simplex Assembly
-
Xiaoming Fu
(University of Science and Technology of China),
Yang Liu
(Microsoft Research Asia)
- Hyperbolic Orbifold Tutte Embeddings
-
Noam Aigerman,
Yaron Lipman
(Weizmann Institute of Science)
- Interactively Controlled Quad Remeshing of High Resolution 3D Models
-
Hans-Christian Ebke,
Patrick Schmidt,
Marcel Campen,
Leif Kobbelt
(RWTH Aachen University)
All About Sampling
- Robust Light Transport Simulation via Metropolized Bidirectional Estimators
-
Martin Sik
(Charles University in Prague),
Hisanari Otsu,
Toshiya Hachisuka
(The University of Tokyo),
Jaroslav Krivanek
(Charles University in Prague)
- Temporal Gradient-Domain Path Tracing
-
Marco Manzi
(University of Bern),
Markus Kettunen
(Aalto University),
Fredo Durand
(Massachusetts Institute of Technology),
Matthias Zwicker
(University of Bern),
Jaakko Lehtinen
(Aalto University and NVIDIA Research)
- Low-Discrepancy Blue Noise Sampling
(
)
(
)
-
Abdalla G. M. Ahmed
(University of Konstanz, Germany),
Helene Perrier,
David Coeurjolly,
Victor Ostromoukhov
(Universite de Lyon, CNRS/LIRIS, France),
Jianwei Guo
(NLPR, Institute of Automation, CAS, China),
Dongming Yan
(Shenzhen University),
Hui Huang
(Shenzhen University and SIAT),
Oliver Deussen
(University of Konstanz, Germany and SIAT)
- Stair Blue Noise Sampling
-
(),
(),
(),
(),
(),
()
- Texture Space Caching and Reconstruction for Ray Tracing
-
Jacob Munkberg,
Jon Hasselgren,
Petrik Clarberg,
Magnus Andersson,
Tomas Akenine-Moller
(Intel Corporation)
Fantastic Elastics
- High-Resolution Interaction with Corotational Coarsening Models
-
Rosell Torres, Alejandro Rodriguez,
Jose Miguel Espadero,
Miguel A. Otaduy
(Universidad Rey Juan Carlos)
- Descent Methods for Elastic Body Simulation on the GPU
-
Huamin Wang
(Ohio State University),
Yin Yang
(The University of New Mexico)
- Reconstructing Personalized Anatomical Models for Physics-based Body Animation
-
Petr Kadlecek*
(Charles University in Prague),
Alexandru-Eugen Ichim*
(EPFL),
Tiantian Liu
(University of Pennsylvania),
Jaroslav Krivanek
(Charles University in Prague),
Ladislav Kavan
(University of Utah)
(* Joint first authors)
- Vivace: a Practical Gauss-Seidel Method for Stable Soft Body Dynamics
-
Marco Fratarcangeli
(Chalmers University of Technology),
Valentina Tibaldo,
Fabio Pellacini
(Sapienza University of Rome)
Fabrication
- FlexMolds: Automatic Design of Flexible Shells for Molding
-
Luigi Malomo,
Nico Pietroni
(CNR-ISTI),
Bernd Bickel
(IST Austria),
Paolo Cignoni
(CNR-ISTI)
- FrameFab: Robotic Fabrication of Frame Shapes
-
Yijiang Huang,
Juyong Zhang,
Xin Hu, Guoxian Song, Zhongyuan Liu, Lei Yu,
Ligang Liu
(University of Science and Technology of China)
- Fabrication of freeform objects by principal strips
-
Masahito Takezawa,
Takuma Imai,
Kentaro Shida,
Takashi Maekawa
(Yokohama National University)
- Stochastic Structural Analysis for Context-Aware Design and Fabrication
-
Timothy Langlois
(Adobe Research),
Ariel Shamir
(The Interdisciplinary Center),
Daniel Dror
(Disney Research Pittsburgh),
Wojciech Matusik
(MIT CSAIL),
David I.W. Levin
(University of Toronto)
- Computational Multicopter Design
-
Tao Du,
Adriana Schulz,
Bo Zhu
(MIT CSAIL),
Bernd Bickel
(IST Austria),
Wojciech Matusik
(MIT CSAIL)
Meshes & Fields
- Mesh Denoising via Cascaded Normal Regression
-
Peng-Shuai Wang
(Tsinghua University, Beijing),
Yang Liu,
Xin Tong
(Microsoft Research Asia)
- Practical 3D Frame Field Generation
-
Nicolas Ray
(Inria),
Dmitry Sokolov
(University of Lorraine),
Bruno Levy
(Inria Nancy Grand-Est)
- Interchangeable Components for Hands-On Assembly Based Modelling
-
Noah Duncan
(University of California, Los Angeles),
Lap-Fai (Craig) Yu
(University of Massachusetts Boston),
Sai-Kit Yeung
(Singapore University of Technology and Design)
- Fast and Reliable Example-Based Mesh IK for Stylized Deformations
-
Kevin Wampler
(Adobe Research)
Tessellations
- Power Coordinates: A Geometric Construction of Barycentric Coordinates on Convex Polytopes
-
Max Budninskiy
(California Institute of Technology),
Beibei Liu,
Yiying Tong
(Michigan State University),
Mathieu Desbrun
(California Institute of Technology)
- Optimal Voronoi Tessellations with Hessian-based Anisotropy
-
Max Budninskiy
(California Institute of Technology),
Beibei Liu
(Michigan State University),
Fernando de Goes
(Pixar Animation Studios),
Yiying Tong
(Michigan State University),
Pierre Alliez
(Inria Sophia Antipolis - TITANE),
Mathieu Desbrun
(California Institute of Technology),
- Manifold Differential Evolution (MDE): A Global Optimization Method for Geodesic Centroidal Voronoi Tessellations on Meshes
-
Yong-Jin Liu,
Chun-Xu Xu,
Dian Fan
(Tsinghua University, Beijing),
Ying He
(Nanyang Technological University)
- Centroidal Power Diagrams with Capacity Constraints: Computation, Applications, and Extension
-
Shiqing Xin
(Ningbo University and The University of Hong Kong),
Bruno Levy
(Inria Nancy Grand-Est),
Zhonggui Chen
(Xiamen University),
Lei Chu,
Yaohui Yu
(The University of Hong Kong),
Changhe Tu
(Shandong University),
Wenping Wang
(The University of Hong Kong)
Smash & Splash
- SMASH: Physics-guided Reconstruction of Collisions from Videos
-
Aron Monszpart
(University College London),
Nils Thuerey,
(Technical University of Munich),
Niloy Mitra
(University College London)
- Eulerian Solid-Fluid Coupling
-
Yun Teng
(University of California, Santa Barbara),
David I.W. Levin
(Disney Research),
Theodore Kim
(Pixar Animation Studios and University of California, Santa Barbara)
- A scalable Schur-complement fluids solver for heterogeneous compute platforms
-
Haixiang Liu,
Nathan Mitchell,
Mridul Aanjaneya,
Eftychios Sifakis
(University of Wisconsin - Madison)
- Dispersion Kernels for Water Wave Simulation
-
Jose-Angel Canabal Delgado,
David Miraut
(Universidad Rey Juan Carlos),
Nils Thuerey,
(Technical University of Munich),
Theodore Kim
(University of California, Santa Barbara),
Javier Portilla,
Miguel Otaduy
(Universidad Rey Juan Carlos)
Materials
- Simultaneous Acquisition of Microscale Reflectance and Normals
-
Giljoo Nam,
Joo Ho Lee
(KAIST),
Diego Gutierrez
(Universidad de Zaragoza),
Hongzhi Wu
(Zhejiang University),
Min H. Kim
(KAIST)
- An Intuitive Control Space for Material Appearance
-
Ana Serrano,
Diego Gutierrez
(Universidad de Zaragoza),
Karol Myszkowski,
Hans-Peter Seidel
(MPI Informatik),
Belen Masia
(Universidad de Zaragoza)
- Recovering Shape and Spatially-Varying Surface Reflectance under Unknown Illumination
-
Rui Xia,
Yue Dong
(Microsoft Research Asia),
Pieter Peers
(College of William & Mary),
Xin Tong
(Microsoft Research Asia)
- Minimal BRDF Sampling for Two-Shot Near-Field Reflectance Acquisition
-
Zexiang Xu
(University of California, San Diego),
Jannik Boll Nielsen
(Technical University of Denmark),
Jiyang Yu,
Henrik Wann Jensen,
Ravi Ramamoorthi
(University of California, San Diego)
- Sparse-as-Possible SVBRDF Acquisition
-
(),
(),
(),
(),
(),
()
Filtering Images
- Bilateral Guided Upsampling
-
Jiawen Chen,
Andrew Adams
(Google Research),
Neal Wadhwa
(Massachusetts Institute of Technology),
Samuel W. Hasinoff,
(Google Research)
- Parallel recursive filtering of infinite input extensions
-
Diego Nehab,
Andre Maximo
(IMPA)
- Rapid, Detail-Preserving Image Downscaling
-
Nicolas Weber
(TU Darmstadt and Graduate School of Computational Engineering at TU Darmstadt),
Michael Waechter,
Sandra C. Amend,
Stefan Guthe
(TU Darmstadt),
Michael Goesele
(TU Darmstadt and Graduate School of Computational Engineering at TU Darmstadt)
- VizGen: Accelerating Visual Computing Prototypes in Dynamic Languages
-
Yuting Yang,
Sam Prestwood,
Connelly Barnes
(University of Virginia)
Human Motion
- Authoring Directed Gaze for Full-Body Motion Capture
-
Tomislav Pejsa,
Danny Rakita,
Bilge Mutlu,
Mike Gleicher
(University of Wisconsin-Madison)
- EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras
-
Helge Rhodin
(MPI Informatik),
Christian Richardt
(MPI Informatik and Intel Visual Computing Institute and University of Bath),
Dan Casas,
Eldar Insafutdinov,
Mohammad Shafiei,
Hans-Peter Seidel,
Bernt Schiele,
Christian Theobalt
(MPI Informatik)
- Data-driven Inverse Dynamics for Human Motion
-
Xiaolei Lv
(Institute of Computing Technology,Chinese Academy of Sciences and University of Chinese Academy of Sciences ),
Jinxiang Chai
(Texas A&M University),
Shihong Xia
(Institute of Computing Technology,Chinese Academy of Sciences)
- WarpDriver: Context-Aware Probabilistic Motion Prediction for Crowd Simulation
-
David Wolinski
(Inria),
Ming C. Lin
(University of North Carolina),
Julien Pettre
(Inria)
- Gesture3D: Posing 3D Characters via Gesture Drawings
-
Mikhail Bessmeltsev,
Nicholas Vining,
Alla Sheffer
(The University of British Columbia)
Data Driven Modeling
- Interactive Mechanism Modeling from Multi-view Images
-
Mingyuan Li,
Mingliang Xu,
(Zhejiang University),
Weiwei Xu
(Hangzhou Normal University),
Zhigang Deng
(Univesity of Houston),
Yin Yang,
Kun Zhou
(Zhejiang University)
- Block Assembly for Global Registration of Building Scans
-
Feilong Yan,
Liangliang Nan,
Peter Wonka
(King Abdullah University of Science and Technology)
- 3D Attention-Driven Depth Acquisition for Object Identification
-
Kai Xu
(VisuCA/SIAT and National University of Defense Technology),
Yifei Shi
(National University of Defense Technology),
Lintao Zheng, Junyu Zhang, Min Liu,
Hui Huang
(VisuCA/SIAT),
Hao Su
(Stanford University),
Daniel Cohen-Or
(Tel Aviv University),
Baoquan Chen
(Shandong University)
- Automated View and Path Planning for Scalable Multi-Object 3D Scanning
-
Xinyi Fan,
Linguang Zhang
(Princeton University),
Benedict J. Brown
(University of Pennsylvania),
Szymon Rusinkiewicz
(Princeton University)
- Directing User Attention via Visual Flow on Web Designs
-
Xufang Pang*,
Ying Cao*,
Rynson W.H. Lau,
Antoni B. Chan
(City University of Hong Kong) (*Joint first authors)
Complex Rendering
- Downsampling Scattering Parameters for Rendering Anisotropic Media
-
Shuang Zhao*
(University of California, Irvine),
Lifan Wu*
(University of California, San Diego),
Fredo Durand
(Massachusetts Institute of Technology),
Ravi Ramamoorthi
(University of California, San Diego)
(* Joint first authors)
- Adaptive Matrix Column Sampling and Completion for Rendering Participating Media
-
Yuchi Huo,
Rui Wang,
Tianlei Hu,
Wei Hua,
Hujun Bao
(Zhejiang University)
- Efficient Rendering of Heterogeneous Polydisperse Granular Media
-
Thomas Muller
(Disney Research and ETH Zurich),
Marios Papas
(Disney Research),
Markus Gross
(Disney Research and ETH Zurich),
Wojciech Jarosz
(Dartmouth College),
Jan Novak
(Disney Research)
- Image-space Control Variates for Rendering
-
Fabrice Rousselle
(Disney Research),
Wojciech Jarosz
(Dartmouth College),
Jan Novak
(Disney Research)
- Simulating the structure and texture of solid wood
-
Albert Julius Liu
(Cornell University),
Zhao Dong,
Milos Hasan
(Autodesk),
Steve Marschner
(Cornell University)
All About Seeing
- Blocking Harmful Blue Light while Preserving Image Color Appearance
-
Kuang-Tsu Shih,
Jen-Shuo Liu,
Frank Shyu,
Su-Ling Yeh,
Homer H. Chen
(National Taiwan University)
- Motion Parallax in Stereo 3D: Model and Applications
-
Petr Kellnhofer
(MPI Informatik),
Piotr Didyk
(MPI Informatik and Saarland University),
Tobias Ritschel
(MPI Informatik and Saarland University and University College London),
Belen Masia
(MPI Informatik and Universidad de Zaragoza),
Karol Myszkowski,
Hans-Peter Seidel
(MPI Informatik)
- Unsupervised Texture Transfer from Images to Model Collections
-
Tuanfeng Y. Wang,
Hao Su
(University College London),
Qixing Huang
(Toyota Technological Institute at Chicago),
Jingwei Huang,
Leonidas Guibas
(Stanford University),
Niloy Mitra
(University College London)
- Regional Foremost Matching for Internet Images
-
Xiaoyong Shen,
Xin Tao, Chao Zhou, Hongyun Gao,
Jiaya Jia
(The Chinese University of Hong Kong)
- Towards Foveated Rendering for Gaze-Tracked Virtual Reality
-
Anjul Patney,
Marco Salvi,
Joohwan Kim,
Anton Kaplanyan,
Chris Wyman,
Nir Benty,
David Luebke,
Aaron Lefohn
(NVIDIA Research)
kesen.huang@gmail.com


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|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_OakGame_classes.hpp>
Static Public Member Functions | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UCharacterSoundData | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UGbxDataAsset | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UDataAsset | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UObject | |
| static FChunkedFixedUObjectArray & | GetGlobalObjects () |
| template<typename T > | |
| static T * | FindObject (const std::string &name) |
| static UClass * | FindClass (const std::string &name) |
| template<typename T > | |
| static T * | GetObjectCasted (std::size_t index) |
| static UClass * | StaticClass () |
Additional Inherited Members | |
| Public Member Functions inherited from UCharacterSoundData | |
| void | RefreshAll () |
| Public Member Functions inherited from UObject | |
| std::string | GetName () const |
| std::string | GetFullName () const |
| bool | IsA (UClass *cmp) const |
| void | ProcessEvent (class UFunction *function, void *parms) |
| void | ExecuteUbergraph (int EntryPoint) |
| Static Public Attributes inherited from UObject | |
| static FUObjectArray * | GObjects |
|
inlinestatic |
| bool bOverrideCorrosivePainLoop |
| bool bOverrideCryoPainLoop |
| bool bOverrideFirePainLoop |
| bool bOverrideRadiationPainLoop |
| bool bOverrideShockPainLoop |
| bool bOverrideSlagPainLoop |
| class UWwiseEvent* CorrosivePainLoop |
| class UWwiseEvent* CorrosivePainLoopStop |
| class UWwiseEvent* CryoPainLoop |
| class UWwiseEvent* CryoPainLoopStop |
| class UWwiseEvent* FirePainLoop |
| class UWwiseEvent* FirePainLoopStop |
| class UWwiseEvent* RadiationPainLoop |
| class UWwiseEvent* RadiationPainLoopStop |
| class UWwiseEvent* ShockPainLoop |
| class UWwiseEvent* ShockPainLoopStop |
| class UWwiseEvent* SlagPainLoop |
| class UWwiseEvent* SlagPainLoopStop |
| struct FInheritableSoundMap TiredSoundOverrides |
| unsigned char UnknownData00[0x7] |
| unsigned char UnknownData01[0x7] |
| unsigned char UnknownData02[0x7] |
| unsigned char UnknownData03[0x7] |
| unsigned char UnknownData04[0x7] |
| unsigned char UnknownData05[0x7] |


Summer of Sam A film review by Marty Mapes Copyright 1999 Marty Mapes
***1/2 (out of 4) NOTE: SUMMER OF SAM IS RATED R FOR LOTS OF SEX AND A LITTLE GORE, SOME OF WHICH WILL BE DISCUSSED IN THIS REVIEW.
When it comes to evoking a time and place, nobody is better than Spike Lee. In DO THE RIGHT THING, he created an entire neighborhood and a memorable, palpable couple of days. In SUMMER OF SAM, Lee does it again. Moreover, the interesting racial and ethical gray areas that spangled DO THE RIGHT THING, add texture to this movie.
SUMMER OF SAM is set in the Bronx, New York, in the summer of 1977, one of the hottest summers on record. It was also the summer that the so-called "Son of Sam" serial killer was on the loose. Fear of the serial killer (so the movie says) forever defines that time and place.
Lee is often an impressionist filmmaker. He'll try to capture a moment in time. Small details, like a "Dead End" sign, or a heat wave, or a serial killer in the headlines really aren't that important to the plot, but are essential to definition of time and place. And even WITHIN the movie, Lee highlights a particular moment with an oddly-chosen image (like when he shows the space BETWEEN two characters, rather than the characters themselves) or with expressionistic lighting and effects (i.e., effects that reflects the characters' inner moods, rather than external reality).
So although the Son of Sam killer (now know to be David Berkowitz, played by Michael Badalucco) is in this movie, his role is small. This is not a horror movie about a serial killer. Rather, it is an ensemble drama. The serial killings touch the lives of the characters, but only indirectly as future memories.
The movie's center is Vinnie (John Leguizamo, proving himself to be a talented actor), a small-time hairdresser. Vinnie is married to Dionna (Mira Sorvino) and the two make a handsome couple.
Their sex life is busy, but troubled.  She, on the other hand, would like to please him however she can, and so both of them end up unsatisfied and frustrated.
In many movies, dialogue about, and depiction of their sex life would be gratuitous, but in SUMMER OF SAM, it really drives the characters' words and actions. Without it, we wouldn't know who the characters are or why their relationship is as troubled as it is.
Vinnie also hangs around with his old buddies from the neighborhood. Joey (Michael Rispoli) and his three pals can almost always be found at the dead end, peddling drugs and discussing the issues of the day. Their machismo makes for some of the movie's funniest conversations. Everyone has to be the smartest and the loudest, which sometimes makes for a conversation where everyone is talking and nobody is listening. It's a bit of insightful writing and directing by Lee.
Vinnie's friend Richie re-emerges into the neighborhood with a Sid Vicious hairdo, a British-flag t-shirt, and an English-punk accent. Once they recognize him, Richie is still allowed to be "one of the guys," but just barely. Vinnie still likes him because they go way back.
But his appearances aren't all that has changed (or should I say emerged?). When Richie needs money, he dances at a gay strip bar, then gets a few extra "tips" back stage. He has a girlfriend, but their relationship is more platonic than she'd like.
So when Joey's gang finds out about Richie's homosexuality, (added to his weird behavior & appearance) they decide that he must be the Son of Sam killer. One night they drive over to the punk club where they think he'll be.
The contrast between the cultures is huge: four Italian street toughs among a club full of pierced, mohawked, leathered punks. Perhaps the epitome of that contrast is the image of Vinnie in his disco best, talking over old times with Richie in his new blond mohawk. The conversation soon becomes an argument, Vinnie accusing Richie of having changed so much and Richie saying he's just being himself. Both of them are as right and as honest as they've been in the whole movie. Yet their perspectives are so different that it seems like they're just fighting. Neither can see the other's point of view, which really sums up the tragedy of the whole Jocks-vs.-Goths war.
In a classic enactment of that war, Joey's gang forms a posse to go take care of Richie, once and for all. They've learned he's at home tonight, and they're off to make him pay. For a moment, it seems like they know what they're doing is wrong. They hesitate. Their revenge requires some moral legitimacy, so they decide to make Vinnie come along and be a part of their mob. Vinnie is so messed up from problems with his wife and from alcohol and drugs that he gives in to their pressure.
The dreadful march of the vigilantes is tensely intercut with the triumphant capture of the real Son of Sam killer. The appropriately grave score (from Terrence Blanchard) and well-chosen song (The Who's WON'T GET FOOLED AGAIN) bring the movie to its grim, yet hopeful close.
Spike Lee is a great director. He is one of the best when it comes to pulling great performances from a large cast, and when it comes to creating a real, palpable impression of a moment. He has made his share of bad movies, but when he's on his mark, he is very good. SUMMER OF SAM will surely be remembered among the best.
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If someone states as a Golden Rule that sequels are never as good as the originals, the automatic response is usually "The Godfather Part II", with references to The Empire Strikes Back, Star Trek II: The Wrath of Khan, and Bride of Frankenstein held in reserve. Superior sequels are pretty rare, but Toy Story 2 is perhaps the best example there is. For while Toy Story 2 can't possibly carry the impact of its predecessor, it is a better movie all round.
In the toys' second screen adventure, Woody (voiced by Tom Hanks) discovers he is no ordinary cowboy toy but is a valuable collectible. Buzz Lightyear (Tim Allen) has now recovered from his delusion that he really is an intergalactic superhero but is still pretty heroic as he and Woody's other friends try to rescue the cash cowboy from an evil toy store owner trying to toynap Woody to complete his collection of cowboy toys and sell him to a museum.
Co-director John Lasseter, whose company Pixar made the Toy Story films, has always been an animator who happened to use technology, rather than a techno-nut dabbling at animation. This means that propeller-head gee- whizzery never gets in the way of the requirements of traditional story- telling - character and plot are everything, and instead of showing us how clever they are, Lasseter and co-director Ash Brannon properly concentrate on thrilling us and making us laugh. There have nevertheless been significant technical advances in rendering software and sheer computing brute strength over the last four years, and the level of textural detail and naturalistic movement on show here is amazing.
Toy Story 2 was originally planned to have an undignified straight-to- video release - the traditional route for animation feature sequels - but the suits at Disney and Pixar decided it might be worth a shot at a theatrical release. After the film's eighty-million-dollar opening weekend, they were probably pretty pleased with themselves.
Although sometimes a bit syrupy, Toy Story 2 is very impressive technically and, much more important, it's great fun. (8/10)
--
Gary Jones
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Donbas war: EU tells of new steps expected from Ukraine
The official hopes Russia will also take as early as at the Normandy Four summit steps just as significant to advance the Minsk process.
Ukrainian authorities should make everyday life easier for residents of the occupied territories of Donbas, adopting an inclusive approach to them, in particular, by taking care of the population through social payments and ensuring electoral rights, including that of the internally displaced persons, head of Eastern Partnership relations department of the EU External Action Service, Richard Tibbels, said.
Brussels is observing ceasefire violations in Donbas, while there are some encouraging signals like the exchange of held persons, disengagement in three sections, demining, and bridge construction in Stanytsia Luhanska, Tibbels said, according to Deutsche Welle.
The official praised said steps taken by the Ukrainian side, adding that the EU also expects from Russia no less significant steps to advance the Minsk process, which Moscow could take as early as during the Normandy Four summit on December 9.
As UNIAN reported earlier, President Volodymyr Zelensky said he expected from the Normandy Four summit a specific date to be set for an "all for all" prisoner exchange, as well as sustainable ceasefire, and regaining control of the Ukrainian-Russian border.