THE HARMONISTS A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): ** 1/2
Based on the true story of a singing troupe called the "Comedian Harmonists," THE HARMONISTS starts in Berlin in the late 1920s. Unemployment is soaring with 3 million out of work, but a failed actor with a vision, Harry Frommermann, decides his future lies as a musical "arranger," and singer. Ulrich Noethen, who looks like LIFE IS BEAUTIFUL's Roberto Benigni, plays Harry, who hires 4 other singers and a pianist. Together they will sing a high-pitched, 5-part harmony. Their innocent, happy tunes will later prove somewhat of an antidote to the terror that will grip the nation as the Nazis come to power.
With Joseph Vilsmaier's warm and radiant cinematography and Rolf Zehetbauer's handsome period sets, post-World War I Germany looks lovely and inviting. The relatively light-hearted story is structured into 3 parts. The first concerns the trials and tribulations of the group's formation, the second has them living in the lap of luxury, and the final act covers the oppression they faced because some of them were Jewish.
Harry's vision, based on the popularity of The Revelers, was for the group to sing as one, with no individual standing out. Their memorable songs are of a type that most of you may not have heard before. The lyrics are childlike and silly with occasional and obscure double-entendre -- one such double-entendre mentions "sprouting asparagus," for example. Told you, they were obscure.
The movie's best scenes are its simplest. One especially charming one has the group at an impromptu jam session, in which they do an instrumental blues song with their voices as the instruments. Their talents as singers are never in doubt even if their type of music may no longer have the universal appeal it did then.
The long middle section of the movie has them, along with their girlfriends, wives, and one-night-stands, living like kings in the best hotels in Europe -- their rapid rise to musical stardom being roughly akin to that of the Beatles. Overwhelmed by their wealth and fame, one of them remarks propitiously, "My God, what will happen next?" He was thinking positively, but the storm clouds were brewing on the continent
At first the group is just harassed as "sissies," but later the same brash, young men don brown shirts and begin to torture and terrorize anyone they don't like and they especially do not like Jews. With their millions of fans, the Comedian Harmonists figure, naively, that they will be immune from the anti-Semitism rampant in the land.
The movie, which walks a fine line during the first two acts between light musical comedy and history, commits itself in the somber last act to being a message movie. This last, schmaltzy part is where the film begins to fall apart. Carefree entertainment doesn't switch easily into serious melodrama. Try as it will, the movie just isn't able to shift gears properly, despite its good intentions. The result is an enjoyable, historical story with a ponderous and sappy SOUND OF MUSIC-style ending. Whatever you do, don't leave before the epilogue that reveals what happened to the members of the group as well as to their spouses and lovers.
THE HARMONISTS runs 1:55.. The film is in German with English subtitles. It is not rated but would be an R for brief nudity, sexuality, drug usage and mature themes and would be fine for teenagers.
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This page tracks the new paper links made to our list of SIGGRAPH 2015 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
November 26, 2015
- The Light-Field Stereoscope: Immersive Computer Graphics via Factored Near-Eye Light -Field Displays With Focus Cues
- Perceptually Based Downscaling of Images
- Image Based Relighting Using Neural Networks
September 21, 2015
- Isotopic Approximation Within a Tolerance Volume
- Elastic Textures for Additive Fabrication
August 31, 2015
- High-Quality Streamable Free-Viewpoint Video
- Intuitive and Efficient Camera Control with the Toric Space
- Computational Interlocking Furniture Assembly
- Color Imaging and Pattern Hiding on a Metallic Substrate
August 29, 2015
- Learning to Remove Soft Shadows
(TOG Paper)
- Doppler Time-of-Flight Imaging
- Bounded-Distortion Harmonic Mappings in the Plane
- Conformal Mesh Deformations With Mobius Transformations
- Data-Driven Finite Elements for Geometry and Material Design
- Fab Forms: Customizable Objects for Fabrication With Validity and Geometry Caching
- MultiFab: A Machine-Vision-Assisted Platform for Multi-Material 3D Printing
- Coupled Segmentation and Similarity Detection for Architectural Models
- LinkEdit: Interactive Linkage Editing Using Symbolic Kinematics
- Improving Light Field Camera Sample Design With Irregularity and Aberration
- Layered Light-Field Reconstruction for Defocus Blur
(TOG Paper)
- Optimization-Based Design and Fabrication of Flexible Rod Meshes
- Aerophones in Flatland: Interactive Wave Simulation of Wind Instruments
- Measurement-Based Editing of Diffuse Albedo with Consistent Interreflections
- Biomechanical Simulation and Control of Hands and Tendinous Systems
August 8, 2015
- Two-shot SVBRDF Capture for Stationary Materials
August 7, 2015
- Detailed Spatio-Temporal Reconstruction of Eyelids
- Biomechanical Simulation and Control of Hands and Tendinous Systems
- Real-Time High-Fidelity Facial Performance Capture
- Learning to Remove Soft Shadows
- OmniAD: Data-Driven Omni-Directional Aerodynamics
- A Perceptual Control Space for Garment Simulation
- Practical Hex-Mesh Optimization via Edge-Cone Rectification
July 29, 2015
- Sampling Based Scene-Space Video Processing
July 25, 2015
- Lillicon: Using Transient Widgets to Create Scale Variations of Icons
July 24, 2015
- Architecture-Scale Human-Assisted Additive Manufacturing
- The Affine Particle-In-Cell Method
- Microstructures to Control Elasticity in 3D Printing
- Learning to Remove Soft Shadows
- Zoomorphic Design
July 21, 2015
- By-Example Synthesis of Structurally Sound Patterns
July 17, 2015
- Shape Segmentation by Approximate Convexity Analysis
(TOG Paper)
July 11, 2015
- Flow Aligned Surfacing of Curve Networks
- Architecture-Scale Human-Assisted Additive Manufacturing
July 2, 2015
- Accelerating Vector Graphics Rendering Using the Graphics Hardware Pipeline
June 27, 2015
- Stripe Patterns on Surfaces
June 22, 2015
- LazyFluids: Appearance Transfer for Fluid Animations
June 21, 2015
- Decomposing Time-Lapse Paintings into Layers
- Dyadic T-Mesh Subdivision
- Skin Microstructure Deformation with Displacement Map Convolution
- Computing Locally Injective Mappings by Advanced MIPS
- eyeSelfie: Self-Directed Eye Alignment Using Reciprocal Eye-Box Imaging
- SecondSkin: Sketch-Based Construction of Layered 3D Models
June 10, 2015
- Dynamic 3D Avatar Creation from Hand-held Video Input
- AudeoSynth: Music-Driven Video Montage
- Adaptive Rendering With Linear Predictions
- Improving Light Field Camera Sample Design With Irregularity and Aberration
June 8, 2015
- Realistic Biomechanical Simulation and Control of Human Swimming
(TOG Paper)
June 6, 2015
- Seamless Surface Mappings
- Nonlinear Material Design Using Principal Stretches
June 5, 2015
- Vector Graphics Animation with Time-Varying Topology
June 3, 2015
- BendFields: Regularized Curvature Fields from Rough Concept Sketches
(TOG Paper)
- Bijective Parameterization with Free Boundaries
- Discrete Derivatives of Vector Fields on Surfaces -- An Operator Approach
(TOG Paper)
- Elastic Textures for Additive Fabrication
- Fluid Volume Modeling from Sparse Multi-view Images by Appearance Transfer
- GRIDiron: An interactive authoring and cognitive training foundation for reconstructive plastic surgery procedures
- High-Resolution Brittle Fracture Simulation with Boundary Elements
- Hyperspectral Modeling of Skin Appearance
(TOG Paper)
- Interactive Material Design Using Model Reduction
(TOG Paper)
- Learning Shape Placements by Example
- Linear volumetric focus for light field cameras
(TOG Paper)
- Real-Time Hyperlapse Creation via Optimal Frame Selection
- Real-Time Nonlinear Shape Interpolation
(TOG Paper)
- Simulating Rigid Body Fracture with Surface Meshes
- Synthesis of Complex Image Appearance from Limited Exemplars
(TOG Paper)
- Topology-Constrained Surface Reconstruction From Cross-section
- Micron-Scale Light Path Decomposition Using Interferometry
- Spectral Quadrangulation With Feature-Curve Alignment and Element-Size Control
(TOG Paper)
- Dehazing using Color-Lines
-->
(TOG Paper)
- Robust Simulation of Sparsely Sampled Thin Features in SPH-Based Free Surface Flows
(TOG Paper)
- An Implicit Viscosity Formulation for SPH Fluids
- Adaptive Rendering Based on Weighted Local Regression
(TOG Paper)
- Beating Shapes Relying on Moire Level Lines
(TOG Paper)
- Using Nesterovˇ¦s Method to Accelerate Multibody Dynamics With Friction and Contact
(TOG Paper)
May 28, 2015
- Advanced Procedural Modeling of Architecture
- Stable Constrained Dynamics
May 25, 2015
- WorldBrush: Interactive Example-based Synthesis of Procedural Virtual Worlds
- Data-Driven Interactive Quadrangulation
- Gradient-Domain Path Tracing
- Complex Luminaires: Illumination and Appearance Rendering
(TOG Paper)
May 24, 2015
- 3DFlow: Continuous Summarization of Mesh Editing Workflows
- Dehazing using Color-Lines
- Dehazing using Color-Lines
(TOG Paper)
- Space-time sketching of character animation
- Hexahedral Mesh Re-parameterization from Aligned Base Domains
- An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition
- Coupled Segmentation and Similarity Detection for Architectural Models
- A Machine Learning Approach for Filtering Monte Carlo Noise
- Multi-Scale Modeling and Rendering of Granular Materials
May 20, 2015
- Image Based Relighting Using Neural Networks
- Mesurement-Based Editing of Diffuse Albedo with Consistent Interreflections
- Driving High-Resolution Facial Scans with Video Performance Capture
(TOG Paper)
- Skin Microstructure Deformation with Displacement Map Convolution
- Codimensional Non-Newtonian Fluids
- The Affine Particle-In-Cell Method
- Gradient-Domain Path Tracing
- Two-shot SVBRDF Capture for Stationary Materials
- Data-Driven Interactive Quadrangulation
- Shading-based Refinement on Volumetric Signed Distance Function
- Time-lapse Mining from Internet Photos
- A Computational Approach for Obstruction-Free Photography
- Computational Hydrographic Printing
- Interaction Context (ICON): Towards a Geometric Functionality Descriptor
- Foldabilizing Furniture
- Iterative Training Of Dynamic Skills Inspired By Human Coaching Techniques
(TOG Paper)
- Palette-based Photo Recoloring
- Integrable PolyVector Fields
- Computational Interlocking Furniture Assembly
May 15, 2015
- Optimal Presentation of Imagery with Focus Cues on Multi-Plane Displays
- A Machine Learning Approach for Filtering Monte Carlo Noise
- Dyna: A Model of Dynamic Human Shape in Motion
May 14, 2015
- Simulating the Visual Experience of Very Bright and Very Dark Scenes
(TOG Paper)
- Homogeneous Codes for Energy Efficient Illumination and Imaging
- LazyFluids: Appearance Transfer for Fluid Animations
- Animating Human Dressing
- Online Control of Simulated Humanoids Using Particle Belief Propagation
- Reduced-Order Shape Optimization Using Offset Surfaces
- Computational Bodybuilding: Anatomically-based Modeling of Human Bodies
- Deformation Capture and Modeling of Soft Objects
- Air Meshes for Robust Collision Handling
- Fast Grid-Free Surface Tracking
- Controlling Procedural Modeling Programs with Stochastically-Ordered Sequential Monte Carlo
- A Stream Function Solver for Liquid Simulations
May 13, 2015
- Restoring the Missing Vortices in Advection Projection Fluid Solvers
- Piko: A Framework for Authoring Programmable Graphics Pipelines
- Dynamic Terrain Traversal Skills Using Reinforcement Learning
- Double Bubbles Sans Toil and Trouble: Discrete Circulation-Preserving Vortex Sheets for Soap Films and Foams
May 12, 2015
- A Total Variation Approach for Customizing Imagery to Improve Visual Acuity
(TOG Paper)
- Subspace Condensation: Full Space Adaptivity for Subspace Deformations
May 11, 2015
- Single-View Reconstruction via Joint Analysis of Image and Shape Collections
- Sampling Based Scene-Space Video Processing
- Style Compatibility For 3D Furniture Models
- Elements of Style: Learning Perceptual Shape Style Similarity
- RAPter: Rebuilding Man-made Scenes with Regular Arrangements of Planes
- Computational Design of Twisty Joints and Puzzles
- Computational Hydrographic Printing
- Power Particles: An incompressible fluid solver based on power diagrams
- Frame Field Generation through Metric Customization
- Linear Subspace Design for Real-Time Shape Deformation
- Parametric Self-supporting Surfaces via Direct Computation of Airy Stress Functions
May 10, 2015
- Dihedral Angle-based Maps of Tetrahedral Meshes
- Variance Analysis for Monte Carlo Integration
May 9, 2015
- Deformation Capture and Modeling of Soft Objects
- Facial Performance Sensing Head-Mounted Display
- Single-View Hair Modeling Using A Hairstyle Database
- Practical Hex-Mesh Optimization via Edge-Cone Rectification
- PatchTable: Efficient Patch Queries for Large Datasets and Applications
- Semantic Shape Editing Using Deformation Handles
- Hybrid Skeletal-Surface Motion Graphs for Character Animation from 4D Performance Capture
(TOG Paper)
- The SGGX Microflake Distribution
- Dihedral Angle-based Maps of Tetrahedral Meshes
- Dynamic 3D Avatar Creation from Hand-held Video Input
- Computational Design of Twisty Joints and Puzzles
- Computational Hydrographic Printing
- Restoring the Missing Vortices in Advection Projection Fluid Solvers
- Data-driven Color Manifolds
(TOG Paper)
- Palette-based Photo Recoloring
- Style Compatibility For 3D Furniture Models
- Light Field Reconstruction Using Sparsity in the Continuous Fourier Domain
(TOG Paper)
- Learning Visual Similarity for Product Design with Convolutional Neural Networks
April 20, 2015
- Gaze-driven Video Re-editing
(TOG Paper)
- Garment Replacement in Monocular Video Sequences
(TOG Paper)
April 19, 2015
- Smoothed Quadratic Energies on Meshes
(TOG Paper)
- LOD Generation for Urban Scenes
(TOG Paper)
- Controlling Procedural Modeling Programs with Stochastically-Ordered Sequential Monte Carlo
- Piko: A Framework for Authoring Programmable Graphics Pipelines
- Intuitive and Efficient Camera Control with the Toric Space
April 16, 2015
- The Light Field Stereoscope: Immersive Computer Graphics via Factored Near-Eye Light Field Display with Focus Cues
- Integrable PolyVector Fields
- Data-Driven Interactive Quadrangulation
- Air Meshes for Robust Collision Handling
- Fast Grid-Free Surface Tracking
- Decomposing Time-Lapse Paintings into Layers
April 12, 2015
- Rebuilding Man-made Scenes with Regular Arrangements of Planes
- Computational Bodybuilding: Anatomically-based Modeling of Human Bodies
- Real-Time High-Fidelity Facial Performance Capture
- Deformation Capture and Modeling of Soft Objects
- Power Particles: An incompressible fluid solver based on power diagrams
- Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains
- Linear Subspace Design for Real-Time Shape Deformation
- Nonlinear Material Design Using Principal Stretches
- Zoomorphic Design
- Double Bubbles Sans Toil and Trouble: Discrete Circulation-Preserving Vortex Sheets for Soap Films and Foams
- A Stream Function Solver for Liquid Simulations
- Hexahedral Mesh Re-parameterization from Aligned Base Domains
April 8, 2015
- RingIt: Ring-Ordering Casual Photos of a Temporal Event
- Reduced-Order Shape Optimization Using Offset Surfaces
- Variance Analysis of Monte Carlo Integration
April 7, 2015
- Space-time sketching of character animation
- Vector Graphics Animation with Time-Varying Topology
April 6, 2015
- Piko: A Framework for Authoring Programmable Graphics Pipelines
April 5, 2015
- A Light Transport Framework for Lenslet Light Field Cameras
(TOG Paper)
- Phasor Imaging: A Generalization of Correlation-Based Time-of-Flight Imaging
(TOG Paper)
- Intuitive and Efficient Camera Control with the Toric Space
- Augmented Airbrush for Computer Aided Painting (CAP)
(TOG Paper)
- Directional Dipole Model for Subsurface Scattering
(TOG Paper)
- Computing Locally Injective Mappings by Advanced MIPS
- Complex Luminaire Rendering
(TOG Paper)
- Elements of Style: Learning Perceptual Shape Style Similarity
- Realistic Biomechanical Simulation and Control of Human Swimming
(TOG Paper)
- AudeoSynth: Music-Driven Video Montage
- ImageSpirit: Verbal Guided Image Parsing
(TOG Paper)
April 4, 2015
- Water Wave Animation via Wavefront Parameter Interpolation
(TOG Paper)
- Stripe Patterns on Surfaces
- Style Compatibility For 3D Furniture Models
- Facial Performance Sensing Head-Mounted Display
- Single-View Hair Modeling Using A Hairstyle Database
- Skin Microstructure Derformation with Displacement Map Convolution
kesen.huang@gmail.com


Vega-Lite gallery
This is a gallery of Vega-Lite visualizations. Uses Vega-Lite version
and Vega version
.


About Me
My name is Kayla Muraoka, a senior at Santa Clara University, set to graduate in August 2020 with a dual degree consisting of a BSc in Management Information Systems and BA in Japanese Studies. As someone having experienced working full time and studying in Japan, I am passionate about working for a multinational retail corporation with close ties to Japan.
My technical Management Information Systems coursework has equipped me with a broad understanding of business and the computer applications needed to support business activities. I've attained the skills necessary to leverage data, discover market opportunities, and deliver business solutions. On the other hand, my Japanese studies coursework, including a semester spent abroad at Nanzan University in 2019, while also serving as a photo & social media correspondent for IES has deepened my knowledge of Japanese culture and truly advanced my Japanese speaking, listening, reading, writing, and social skills.
As a recruiting intern at Optia Partners, an executive recruiting firm in Tokyo, I was directly responsible for sourcing a candidate where the company was able to successfully introduce, resulting in a 27-thousand dollar sale. I was awarded the Optia Internship Award for the most sales pitch phone calls and appointments of all the interns, thus proving my ability to navigate linguistic barriers, and adapt to and overcome various cultural differences. I gained professional skills and industry exposure on a global level.
I am actively involved on the SCU campus as a member of the women's club ultimate frisbee team, Kappa Kappa Gamma Eta Nu chapter, Intramural basketball team, while maintaining a full course load as well as working part-time as a sales associate at Quay Australia, an optical retailer. My academic and extra-curricular activity schedule confirms my work ethic, competitive drive, ability to juggle multiple responsibilities and priorities, and work as a part of a team. My leadership experience as a student ambassador, camp counselor, silent auction lead for Relay for Life, and group leader for the YMCA, provides the skills to make me an asset to and thrive in a fast-paced commercial environment.
I believe that my work ethic, positive attitude, and eagerness to learn from every experience combined with my technical skill-set, international experience, leadership experience, and communication skills make me a versatile employee.


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--- layout: post title: sMoney.EU categories: - sightings - launches author: jamis published: true date: 2007-08-07 14:28:00.000000000 +01:00 ---
The Czech Rails shop Skvělý.CZ has just announced the release of sMoney.EU, a free expense tracking application written in (of course) Ruby on Rails. It sports translations for several languages, too, and joins the growing ranks of Rails applications with localized interfaces. Great job, Robert and team!


Describes the database instance for the framework.
Disconnects the current database.
Drops the current database schema.
Gets a map of database entities and its unique names (such as table or collection names).
Checks if is currently connected to database.
Migrates the current database schema.
Handles the database initialization routine, connecting to remote server.
Mounts the database, registering the models and query builders.
The base server instance.
Handles server post-initialization, not so relevant for a Database component that will be already initialized.
The base server instance.
Handles the database unmounting routines and disconnect.
Executes a raw query in the database.
Generated using TypeDoc
Connects the current database.


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QueueJob
public protocol QueueJob: Codable
Defines a job which can be enqueued.
-
The ID of this job, which can be used in a modest attempt to cancel the job, if required.
Declaration
Swift
var id: String
-
Any data associated with this job.
Declaration
Swift
var data: Data?
-
The date/time the job was created
Declaration
Swift
var createdDate: Date
-
The intended action to be performed by the Processor of this job.
Declaration
Swift
var action: String


Class DungeonMazeGenerator.GeneratorSettings
Inheritance
System.Object
DungeonMazeGenerator.GeneratorSettings
Assembly: SadConsole.GoRogue.dll
Syntax
public class GeneratorSettings : Object
Constructors
GeneratorSettings()
Declaration
public GeneratorSettings()
Fields
DistanceMeasurement
Declaration
public Distance DistanceMeasurement
Field Value
| Type |
Description |
| GoRogue.Distance |
|
Declaration
public uint EntityLayersSupportingMultipleItems
Field Value
| Type |
Description |
| System.UInt32 |
|
LayersBlockingTransparency
Declaration
public uint LayersBlockingTransparency
Field Value
| Type |
Description |
| System.UInt32 |
|
LayersBlockingWalkability
Declaration
public uint LayersBlockingWalkability
Field Value
| Type |
Description |
| System.UInt32 |
|
MazeChangeDirectionImprovement
Declaration
public int MazeChangeDirectionImprovement
Field Value
| Type |
Description |
| System.Int32 |
|
MazeSaveDeadEndChance
Declaration
public int MazeSaveDeadEndChance
Field Value
| Type |
Description |
| System.Int32 |
|
NumberOfEntityLayers
Declaration
public int NumberOfEntityLayers
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsConnectionsCancelPlacementChance
Declaration
public int RoomsConnectionsCancelPlacementChance
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsConnectionsCancelPlacementChanceIncrease
Declaration
public int RoomsConnectionsCancelPlacementChanceIncrease
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsConnectionsCancelSideSelectChance
Declaration
public int RoomsConnectionsCancelSideSelectChance
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsConnectionsMaxSides
Declaration
public int RoomsConnectionsMaxSides
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsConnectionsMinSides
Declaration
public int RoomsConnectionsMinSides
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsCountMax
Declaration
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsCountMin
Declaration
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsSizeFontRatioX
Declaration
public float RoomsSizeFontRatioX
Field Value
| Type |
Description |
| System.Single |
|
RoomsSizeFontRatioY
Declaration
public float RoomsSizeFontRatioY
Field Value
| Type |
Description |
| System.Single |
|
RoomsSizeMax
Declaration
Field Value
| Type |
Description |
| System.Int32 |
|
RoomsSizeMin
Declaration
Field Value
| Type |
Description |
| System.Int32 |
|
TileBlueprintFloor
Declaration
public string TileBlueprintFloor
Field Value
| Type |
Description |
| System.String |
|
TileBlueprintWall
Declaration
public string TileBlueprintWall
Field Value
| Type |
Description |
| System.String |
|


WITNESS LIST
Finance
January 25, 2013 9:00 AM
ON:
Blair, Nelda Luce Attorney (also providing written testimony) (University of Houston
System), The Woodlands
Castille, Phil President, U of Houston - Victoria (also providing written testimony) (Same),
Victoria, TX
Flores, President, William V. Higher Education (also providing written testimony) (UH -
Downtown UHD), Houston, TX
Gibson, Dana President (also providing written testimony) (Sam Houston State
University), Huntsville, TX
Hance, Kent Chancellor (also providing written testimony) (Texas Tech University
System), Lubbock, TX
Jackson, Lee Chancellor (also providing written testimony) (UNT System), Dallas
Khator, Renu Chancellor (also providing written testimony) (University of Houston),
Houston, TX
Maestas, Ricardo President (also providing written testimony) (Sul Ross State University)
May, Brian President (also providing written testimony) (Angelo State Univ.), San Angelo,
TX
McCall, Brian Chancellor (also providing written testimony) (The Texas State University
System), Austin
Monroe, Sam President (also providing written testimony) (Lamar State College - Port
Arthur)
Price, John Ellis President (also providing written testimony) (UNT, Dallas), DeSoto, TX
Rawlins, V. Lane Univ. President (also providing written testimony) (UNT), Denton, TX
Schoranec, Lawrence Interim President (also providing written testimony) (Texas Tech
University)
Shahan, J. Michael President LSCO (also providing written testimony) (Lamar State
College - Orange), Orange, TX
Simmons, James President (also providing written testimony) (Lamar University), BMT,
TX
Staples, William A. Higher Education/University President (also providing written
testimony) (University of Houston - Clear Lake), Houston, TX
Szuch, Paul President (also providing written testimony) (Lamar Institute of Technology),
Beaumont, TX
Trauth, Denise President (also providing written testimony) (Texas State University)
Wolfe, Jonathan V.P. Finance & Operations (Lamar Institute of Technology), Beaumont,
TX
Registering, but not testifying:
ON:
Brunjes, Jim Texas Tech University System CFO (Texas Tech University System),
Lubbock, TX
Clark, Kyle Vice President for Admin. & Finance (Texas Tech University), Lubbock, TX
Montford, Debbie Regent (Texas Tech University System)
Moore, Perry Vice Chancellor for Academic Affairs (TSUS)
WITNESS LIST
Finance
January 25, 2013 9:00 AM
Nance, William Vice President, Finance and Support Services (Texas State University -
San Marcos), San Marcos, TX
Reid, Michael L. V.P. Finance & Admin (Angelo State University), San Angelo
Wickland, Mary VP for Finance (Lamar State College Port Arthur), Port Arthur, TX


Go-Web framework documentation¶
Why Go-Web?¶
Go-Web adopts a “convention over configuration” approach similarly to frameworks like Laravel ,Symfony and Rails.
By following this principle, Go-Web reduces the need for “repetitive” tasks like explicitly binding routes, actions and middleware; while not problematic per se, programmers may want to adopt “ready-to-use” solutions, for instances if they want easily build complex services, aiming at a reduced “productive lag”.
Programmers may want to use existing frameworks like Gin-Gonic and Go Buffalo, but Go-Web differs from them because of the aforementioned “convention over configuration” approach.


Search
Retro and Modern Sylvanian Families Collectibles
Home
Collection
Other
Blog
eBay
Forums
Links
News
Contact
Back
Timbertop Brown Bear Family
Japan
Timbertop Grandfather
Timbertop Grandmother
Timbertop Father
Timbertop Mother
Timbertop Older Brother
Timbertop Brother
Timbertop Sister
US Tomy
Birch Timbertop
Bud Timbertop
Burl Timbertop
Daisy Timbertop
Fern Timbertop
Ivy Timbertop
Rose Timbertop
Timbertop Bear Family
UK Tomy
Taylor Timbertop
Father Christmas Gift Set
Nanny Timbertop & Baby Timothy
Timbertop Gift Dome
UK Flair
Celebration Timbertop Bears
Calico Critters
Timbertop Bears
Marmalade Bear Wedding Set
Giants
Giant Taylor Timbertop
Dancin' Performers - US Tomy
Timbertop Brother
Timbertop Sister
Storytellers - US Tomy
Timbertop Father


Editors note: This stories were recovered using the Internet Archive. The chronological order is likely incorrect.


The Radio Hat
The Man-from-Mars technological wonder!
A Variety of Colors!
Lipstick Red
Tangerine
Flamingo
Canary Yellow
Chatreuese
Blush Pink
Rose Pink
Tan
Schematics
What's New?
Radio: A family event
Past vs. Present
Thank you!


holman does dotfiles
dotfiles
Your dotfiles are how you personalize your system. These are mine. The very prejudiced mix: OS X, zsh, Ruby, Rails, git, homebrew, rvm, vim. If you match up along most of those lines, you may dig my dotfiles.
I was a little tired of having long alias files and everything strewn about (which is extremely common on other dotfiles projects, too). That led to this project being much more topic-centric. I realized I could split a lot of things up into the main areas I used (Ruby, git, system libraries, and so on), so I structured the project accordingly.
If you're interested in the philosophy behind why projects like these are awesome, you might want to read my post on the subject.
install
-
git clone git://github.com/abrausch/dotfiles ~/.dotfiles
-
cd ~/.dotfiles
-
rake install
The install rake task will symlink the appropriate files in
.dotfiles
to your home directory. Everything is configured and
tweaked within ~/.dotfiles
, though.
The main file you'll want to change right off the bat is
zsh/zshrc.symlink
, which sets up a few paths that'll be
different on your particular machine.
topical
Everything's built around topic areas. If you're adding a new area
to your forked dotfiles — say, “Java” — you can simply add a
java
directory and put files in there. Anything with an
extension of .zsh
will get automatically included into your
shell. Anything with an extension of .symlink
will get
symlinked without extension into $HOME
when you run rake
install
.
what's inside
A lot of stuff. Seriously, a lot of stuff. Check them out in the file browser above and see what components may mesh up with you. Fork it, remove what you don't use, and build on what you do use.
components
There's a few special files in the hierarchy.
-
bin/: Anything in
bin/
will get added to your$PATH
and be made available everywhere. -
topic/*.zsh: Any files ending in
.zsh
get loaded into your environment. -
topic/*.symlink: Any files ending in
*.symlink
get symlinked into your$HOME
. This is so you can keep all of those versioned in your dotfiles but still keep those autoloaded files in your home directory. These get symlinked in when you runrake install
. -
topic/*.completion.sh: Any files ending in
completion.sh
get loaded last so that they get loaded after we set up zsh autocomplete functions.
add-ons
There are a few things I use to make my life awesome. They're not a required dependency, but if you install them they'll make your life a bit more like a bubble bath.
-
If you want some more colors for things like
ls
, install grc:brew install grc
. -
If you install the excellent rvm to manage multiple rubies, your current branch will show up in the prompt. Bonus.
bugs
I want this to work for everyone; that means when you clone it down it
should work for you even though you may not have rvm
installed, for example. That said, I do use this as my dotfiles,
so there's a good chance I may break something if I forget to make a
check for a dependency.
If you're brand-new to the project and run into any blockers, please open an issue on this repository and I'd love to get it fixed for you!
thanks
I forked Ryan Bates' excellent dotfiles for a couple years before the weight of my changes and tweaks inspired me to finally roll my own. But Ryan's dotfiles were an easy way to get into bash customization, and then to jump ship to zsh a bit later. A decent amount of the code in these dotfiles stem or are inspired from Ryan's original project.


Initializes the tokenizer with a splitter, which splits a string at non-alphanumeric characters. The queue is empty.
Adds a function with defined label to the end of the queue. The function must take a token string as argument and return a token.
the label
the function
Adds a function with defined label after an existing function to the queue. The function must take a token string as argument and return a token.
an existing label or function
the label
the function
Adds a function with defined label before an existing function to the queue. The function must take a token string as argument and return a token.
an existing label or function
the label
the function
Gets a function from the queue. Only the first found function gets returned if a label or a function is multiple used.
an existing label or function
Gets the splitter.
Checks if a function is inside the queue.
an existing label or function
true if exists, otherwise false
Removes a function from the queue.
an existing label or function
Resets the splitter and tokenize queue to default.
Resets the splitter to default.
Sets a function with defined label as the splitter function. The function must take a string as argument and return an array of tokens.
the label
the function
Serializes the tokenizer by returning the labels of the used functions.
Tokenizes a string into tokens.
the string
the tokens
Deserializes the tokenizer by reassign the correct function to each label.
the serialized labels
the depending functions with labels or an equivalent tokenizer
Generated using TypeDoc
The tokenizer is used to prepare the string content of a document field for the inverted index. Firstly the string gets split into tokens. After that the tokens will be trimmed/stemmed with defined functions from the queue.


UX and Full stack development studio
Where Design Meet Functionality.
A digital studio creating experiences that work.
We bring your idea and work for it to became reality.
“Working with this guys was one of my best experience since starting my online shop”
Meet the people behind our project.
“Amazing experience I love it a lot. Thanks to the team that dreams come true.”
“Amazing experience I love it a lot. Thanks to the team that dreams come true.”


Dynamic Acceptance Testing
Head of Development at Opia
Testing Experience
- Not an expert
- Just do what is required to prove functionality
- Provides safety net to prevent mistakes going live
- Don’t get bogged down with jargon
Why test?
- Prove functionality
- Much faster than testing manually
- Makes refactoring easier
- Acts as documentation
- Makes your code better
What are acceptance tests?
- Automated browser based tests
- Acts as a user of application performing actions
- e.g. filling out registration form / making an order
Behat
- Behaviour Driven Development
- Orientated around communication with stakeholders
- Build up scenarios and develop against that
What options do we have?
- Behat with Gherkin (for user stories)
- Behat with PHPUnit (what we are using)
- Codeception
- Laravel Integrated Package
Mink & Goutte
- Mink is a browser emulator
- Goutte is a web scraper
{
"behat/mink": "^1.6",
"behat/mink-goutte-driver": "^1.1"
}
Scenario
- Testing a multi-step registration form
- Slow and fiddly to do manually
- Has multiple languages
- Has differing functionality
- Specific scenario but hopefully useful demonstration
Data Providers
- Add to docblock
- Array of arrays
- Passed as parameters
- Useful for quickly passing scenarios to a test
Data Provider Example (1)
/**
* @dataProvider getEuropeanCountryLocales
*/
Data Provider Example (2)
public function getEuropeanCountryLocales()
{
return [
['es'],
['fr'],
];
}


module Fft: Owl_fft
type
rmat = Owl_dense_real.mat
type
cmat = Owl_dense_complex.mat
val fft : rmat -> cmat
fft x
performs an FFT operation on matrix x
. If x
has more than one
row, then one FFT operation will be performed on each of them. The input is
a real dense matrix, and the returned result is a complex dense matrix.
val fft_complex : cmat -> cmat
fft_complex x
is similar to fft x
but is performed on complex matrices.
val ifft : cmat -> cmat
ifft x
performs the inverse operation of FFT on x
. Note the input x
is
a complex matrix, both the output from fft x
and fft_complex x
can be used
as the input of ifft
.
val fft2 : rmat -> cmat
fft2 x
performns a two-dimensional FFT on a real matrix x
.
val fft2_complex : cmat -> cmat
fft2_complex x
is similar to fft2 x
but is performed on complex matrices.
val ifft2 : cmat -> cmat
ifft2 x
performs the inverse operation of FFT on x
, i.e., the inverse
function of both fft2
and fft2_complex
.
val fftshift : cmat -> cmat
fftshift x
shifts the zero frequency component in the middle. This is
especially useful when plotting the figures.
val ifftshift : cmat -> cmat
ifftshift x
undoes the results of fftshift x
, it is the inverse operation
of fftshift
. Note that calling fftshift
twice such as fftshift (fftshift x)
will not give you the same x
if there is an odd number of elements.


{% extends "base.html" %} {% block title %}Privacy Policy - The Blue Alliance{% endblock %} {% block meta_description %}The Blue Alliance's privacy policy.{% endblock %} {% block content %}
Updated: May 19, 2017
We collect your information only with your consent; we only collect the minimum amount of personal information that is necessary to fulfill the purpose of your interaction with us; we don't sell it to third parties; and we only use it as this Privacy Policy describes. Of course, the short version doesn't tell you everything, so please read on for more details!
If you're just browsing the website, we collect the same basic information that most websites collect. We use common internet technologies, such as cookies and web server logs. This is stuff we collect from everybody, whether they have an account or not.
The information we collect about all visitors to our website includes the visitor’s browser type, language preference, referring site, additional websites requested, and the date and time of each visitor request. We also collect potentially personally-identifying information like Internet Protocol (IP) addresses.
We collect this information to better understand how our website visitors use The Blue Alliance, and to monitor and protect the security of the website.
We use Google sign-in for our accounts. If you create an account with us, only your email address is shared with us, not your password or any other personal information. You also have the option to give us more information, such as your name, which may include "User Personal Information."
The Blue Alliance uses cookies to make interactions with our service easy and meaningful. We use cookies (and similar technologies, like HTML5 localStorage) to keep you logged in and remember your preferences.
 Cookies do not necessarily identify you if you are merely visiting The Blue Alliance; however, a cookie may store a unique identifier for each logged in user. The cookies The Blue Alliance sets are essential for the operation of the website, or are used for performance or functionality. By using our website, you agree that we can place these types of cookies on your computer or device. If you disable your browser or device’s ability to accept cookies, you will not be able to log in or use The Blue Alliance's services.
We use Google Analytics as a third party tracking service, but we don’t use it to track you individually or collect your User Personal Information. We use Google Analytics to collect information about how our website performs and how our users, in general, navigate through and use The Blue Alliance. This helps us evaluate our users' use of The Blue Alliance; compile statistical reports on activity; and improve our content and website performance.
Google Analytics gathers certain simple, non-personally identifying information over time, such as your IP address, browser type, internet service provider, referring and exit pages, time stamp, and similar data about your use of The Blue Alliance. We do not link this information to any of your personal information such as your user name.
The Blue Alliance will not, nor will we allow any third party to, use the Google Analytics tool to track our users individually; collect any User Personal Information other than IP address; or correlate your IP address with your identity. Google provides further information about its own privacy practices and offers a browser add-on to opt out of Google Analytics tracking.
Certain pages on our site may set other third party cookies. For example, we may embed content, such as videos, from another site that sets a cookie. While we try to minimize these third party cookies, we can’t always control what cookies this third party content sets.
This Privacy Policy is adapted from GitHub's Privacy Statement and is licensed under the Creative Commons Attribution license. You may use it freely under the terms of the Creative Commons license.
Contact us if you have questions regarding our Privacy Policy.


Quiz 1: Study Guide
Quizzes are open book. 30 minutes at the start of class
Topics:
-
points and vectors
-
coordinate systems
-
matrix dimension, transpose, and multiplication
Vector practice
1) Short answer
-
What does NaN stand far? When can it occur?
-
Suppose we have an angle X in degrees. Give an expression for converting it to radians.
-
Suppose we have an angle X in radians. Give an expression for converting it to degrees.
-
What is the origin?
-
What is the difference between a direction and a point?
-
What is a unit vector?
-
What does it mean to normalize a vector? Why might we want to do this?
-
Do the built-in functions for sin, cos, and tan in C++ take radians or degrees?
-
What is the difference between atan and atan2? Which is better and why?
2) Suppose we wish to stack three triangles in a row as in the diagram below. Let each triangle’s base be 2 units wide and each triangle’s height be 2 units high. The origin of each triangle is at the bottom left corner.
-
What should the positions of each triangle be if we would like the centers of each triangle to be along the Y-axis?
-
Write psuedocode to position N traingles along the Y axis.
-
Suppose the bottom triangle is traveling with velocity (0,1,0) units per second. At what time will it be aligned with the top triangle?
-
What should the positions of the triangles be if we wish to position each triangle 130 degrees apart in a circle 1 unit away from the origin? Express your answer in terms of sine and cosine.
3) Suppose we have a target at a point g and we wish to compute a point p between g and the origin. Derive an expression for p using atan2.
4) Suppose we have a particle at position (1,1).
-
What is its distance from the origin?
-
What is its distance from the x-axis?
-
Its distance from the y-axis?
-
What is the angle between the direction (1,1) and the positive x-axis?
-
Angle from the negative x-axis?
-
Angle from the positive y-axis?
5) Suppose we have two particles at position (1,1) and (-3,4). Draw them. How far apart are they from each other?
6) Suppose we have a vector v = (1,2,0)^T and u = (-2, 3, 0)^T. What is the value of u+v? Draw u, v, and u+v. Suppose we multiply v by -2. Compute and draw the result.
7) Suppose we have a vector v = (1,2,0)^T. What is its length? Give and expression and evaluate it. Write a program that defines v and prints its length.
8) A particle travels with velocity (1,2,3) units per second. What is its speed? Where will the particle be after 3 seconds if it starts at position (-1,-2,3)? Suppose we wish to change the speed to 10 units per second. What would the new velocity be? Write a program that implements the movement of the particle p.
9) Suppose we have an animation that runs at 24 fps. What does this mean? How many frames do we display in a minute? How much time passes between each frame?


Logger
Intro
Travel:
Kanchipuram temple
Events:
150th Sister Nivedita day
,
Speech
Lessons:
Past passive I
,
Past passive II
sambhAshana sandesha:
rUpakam:
sansarga doshah


jAnimate
jAnimateOnce
jAnimateSequence
jAnimate: fadeOut
jAnimateOnce: fadeOut
jAnimateSequence: swing shake swing


WITNESS LIST Business & Industry Committee (Subcommittee on Healthcare Technology) May 31, 2000-10:00A Interim Charge On: Brooks, Kathy (Self and Baylor Institute for Immunology Research) Fay, Dr. Joe (Baylor University Medical Center or Baylor Health Care System) Folmer, Dr. Mark (Self) Fordtran, Dr. John (Baylor University Medical Center or Baylor Health Care System) Goldstein, Dr. Robert (Baylor University Medical Center or Baylor Health Care System) Kraus, Elizabeth T. (Self and Baylor Institute for Immunology Research) Levy, Dr. Marlon (Baylor University Medical Center or Baylor Health Care System) Millard, Dr. Mark (Baylor University Medical Center or Baylor Health Care System) Wadlington, Dr. Van (Baylor University Medical Center or Baylor Health Care System) Registering, but not testifying: On: Allison, Mr. Joel (Baylor University Medical Center or Baylor Health Care System) Powell Jr., Dr. Boone (Baylor University Medical Center or Baylor Health Care System)


Use the dropdown menu below to select the phylogenetic tree you want to display. Select "Upload Your Own" to see how you can upload your own data for a tree!


Frederic-Alexandre Oliva
Projects that I have created at Epicodus:
My First Webpage.
Uses HTML andCSS.
Wikipedia reproduction.
Uses HTML, CSS.
ParadiseResort
Uses HTML, CSS.
About me:
Education:
Epicodus Seattle:
Introduction to Programming
CityU Seattle:
Intensive English Language Program
Courses toward
MBA
Bachelor degree in Electrical Engineering
Undergraduate in Electrical Engineering and Industrial Computer Sciences
Job Experience:
Realtor
Exclusive Salesman
Teacher in Technology and Mathematics
Sales Manager
Automation Expert - IHM Developer
Interests/Hobbies/Skills
Interest:
Career evolution
Hobbies:
Sports and Friends
Skills:
Multiple experience and skills


Listen, Attend and Spell¶
ListenAttendSpell¶
-
class
kospeech.models.las.model.
ListenAttendSpell
(encoder: torch.nn.modules.module.Module, decoder: torch.nn.modules.module.Module)[source]¶ Listen, Attend and Spell architecture with configurable encoder and decoder.
Parameters: - encoder (torch.nn.Module) – encoder of las
- decoder (torch.nn.Module) – decoder of las
- Inputs: inputs, input_lengths, targets, teacher_forcing_ratio
- inputs (torch.Tensor): tensor of sequences, whose length is the batch size and within which each sequence is a list of token IDs. This information is forwarded to the encoder.
- input_lengths (torch.Tensor): tensor of sequences, whose contains length of inputs.
- targets (torch.Tensor): tensor of sequences, whose length is the batch size and within which each sequence is a list of token IDs. This information is forwarded to the decoder.
- teacher_forcing_ratio (float): The probability that teacher forcing will be used. A random number is drawn uniformly from 0-1 for every decoding token, and if the sample is smaller than the given value, teacher forcing would be used (default is 0.90)
- Returns: output
- output (seq_len, batch_size, num_classes): list of tensors containing the outputs of the decoding function.
-
forward
(inputs: torch.Tensor, input_lengths: torch.Tensor, targets: Optional[Any] = None, teacher_forcing_ratio: float = 1.0, return_decode_dict: bool = False)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
Listener¶
-
class
kospeech.models.las.encoder.
Listener
(input_size: int, hidden_dim: int = 512, device: str = 'cuda', dropout_p: float = 0.3, num_layers: int = 3, bidirectional: bool = True, rnn_type: str = 'lstm', extractor: str = 'vgg', activation: str = 'hardtanh', mask_conv: bool = False)[source]¶ Converts low level speech signals into higher level features
Parameters: - input_size (int) – size of input
- hidden_dim (int) – the number of features in the hidden state h
- num_layers (int, optional) – number of recurrent layers (default: 1)
- bidirectional (bool, optional) – if True, becomes a bidirectional encoder (defulat: False)
- rnn_type (str, optional) – type of RNN cell (default: lstm)
- dropout_p (float, optional) – dropout probability (default: 0.3)
- extractor (str) – type of CNN extractor (default: vgg)
- device (torch.device) – device - ‘cuda’ or ‘cpu’
- activation (str) – type of activation function (default: hardtanh)
- mask_conv (bool) – flag indication whether apply mask convolution or not
- Inputs: inputs, input_lengths
- inputs: list of sequences, whose length is the batch size and within which each sequence is list of tokens
- input_lengths: list of sequence lengths
- Returns: output, hidden
- output: tensor containing the encoded features of the input sequence
- hidden: variable containing the features in the hidden state h
-
forward
(inputs: torch.Tensor, input_lengths: torch.Tensor) → Tuple[torch.Tensor, torch.Tensor][source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
Speller¶
-
class
kospeech.models.las.decoder.
Speller
(num_classes: int, max_length: int = 150, hidden_dim: int = 1024, pad_id: int = 0, sos_id: int = 1, eos_id: int = 2, attn_mechanism: str = 'multi-head', num_heads: int = 4, num_layers: int = 2, rnn_type: str = 'lstm', dropout_p: float = 0.3, device: str = 'cuda')[source]¶ Converts higher level features (from encoder) into output utterances by specifying a probability distribution over sequences of characters.
Parameters: - num_classes (int) – number of classfication
- max_length (int) – a maximum allowed length for the sequence to be processed
- hidden_dim (int) – dimension of RNN`s hidden state vector
- sos_id (int) – index of the start of sentence symbol
- eos_id (int) – index of the end of sentence symbol
- attn_mechanism (str) – type of attention mechanism (default: dot)
- num_heads (int) – number of attention heads. (default: 4)
- num_layers (int, optional) – number of recurrent layers (default: 1)
- rnn_type (str, optional) – type of RNN cell (default: lstm)
- dropout_p (float, optional) – dropout probability (default: 0.3)
- device (torch.device) – device - ‘cuda’ or ‘cpu’
- Inputs: inputs, encoder_outputs, teacher_forcing_ratio, return_decode_dict
- inputs (batch, seq_len, input_size): list of sequences, whose length is the batch size and within which each sequence is a list of token IDs. It is used for teacher forcing when provided. (default None)
- encoder_outputs (batch, seq_len, hidden_dim): tensor with containing the outputs of the encoder. Used for attention mechanism (default is None).
- teacher_forcing_ratio (float): The probability that teacher forcing will be used. A random number is drawn uniformly from 0-1 for every decoding token, and if the sample is smaller than the given value, teacher forcing would be used (default is 0).
- return_decode_dict (dict): dictionary which contains decode informations.
- Returns: decoder_outputs, decode_dict
- decoder_outputs (seq_len, batch, num_classes): list of tensors containing the outputs of the decoding function.
- decode_dict: dictionary containing additional information as follows {KEY_ATTENTION_SCORE : list of scores representing encoder outputs, KEY_SEQUENCE_SYMBOL : list of sequences, where each sequence is a list of predicted token IDs }.
-
forward
(inputs: torch.Tensor, encoder_outputs: torch.Tensor, teacher_forcing_ratio: float = 1.0, return_decode_dict: bool = False) → Tuple[torch.Tensor, dict][source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
TopKDecoder¶
-
class
kospeech.models.las.topk_decoder.
TopKDecoder
(decoder: torch.nn.modules.module.Module, batch_size: int)[source]¶ Applies beam search decoing (Top k decoding)
Parameters: - decoder (nn.Module) – decoder to which beam search will be applied
- batch_size (int) – batch size
- Inputs: input_var, encoder_outputs, k
- input_var : sequence of sos_id
- encoder_outputs : tensor containing the encoded features of the input sequence
- k : size of beam
- Returns: y_hats
- y_hats : predicted y values (y_hat) by the model
-
forward
(input_var: torch.Tensor, encoder_outputs: torch.Tensor, k: int = 3)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.


{% extends "base.html" %} {% set page_title="Counts by Day of Month" %} {% block title %}{{ month }} | {{ page_title }} | Shows{% endblock %} {% block content %}
This chart displays the number of shows that have aired for a specific day of month, broken out by regular shows, Best Of shows, repeat shows, and repeat Best Of shows.
{% else %}No show count data available.
{% endif %} {% endblock %}


|
| | |
George Segal
[American Pop Sculptor, 1924-2000]
|
|
|
|
George Segal Works Online
Categorized & Annotated
Commercial Galleries: Galleries: We invite you to register and list your site (no charge for this service)
Original works by George Segal available for purchase at art galleries worldwide
Museums and Public Art Galleries Worldwide:
Art Institute of Chicago NEW!
Fine Arts Museums of San Francisco NEW!
Guggenheim Museum, New York City 2 works online
Museum of Modern Art, New York City
National Gallery of Art, Washington D.C. NEW! Includes a biography of the artist
National Gallery of Canada, Ottawa
San Francisco Museum of Modern Art
George Segal at the Smithsonian American Art Museum, Washington D.C.
Ackland Art Museum at the University of North Carolina Girl Resting, 1970
Addison Gallery of American Art, Andover, Massachusetts
Akron Art Museum, Ohio NEW! (Click on the "View objects by this artist" link)
Brooklyn Museum, New York City
Brooklyn Museum/Luce Center for American Art, New York City (Undocumented Feature: In many cases the raw JPG image is much larger than displayed on the screen)
Centre Pompidou, Paris (in French) Detailed analysis of George Segal's Movie House, 1966-67
Cleveland Museum of Art, Ohio
Fukuoka Art Museum, Fukuoka, Japan Next Departure, 1979
Fundación Proa, Buenos Aires (partly in Spanish)
Grounds For Sculpture, New Jersey
Hirshhorn Museum and Sculpture Garden, Washington D.C. NEW!
Indianapolis Museum of Art, Indiana
Joslyn Art Museum, Omaha, Nebraska Times Square at Night, 1970
Kunsthalle Mannheim, Germany (in German) Man in a deck chair drinking, 1967
Martin Z. Margulies Sculpture Park at Florida International University, Miami
Meijer Gardens and Sculpture Park, Grand Rapids, Michigan Woman in Chair
Miami Art Museum, Florida
Mildred Lane Kemper Art Museum, St. Louis, Missouri
Modern Art Museum of Fort Worth, Texas
Museum of Contemporary Art, Chicago Man in Bar
Museum of Contemporary Art, Los Angeles
Nasher Sculpture Center, Dallas, Texas
Oklahoma City Museum of Art, Oklahoma Woman Brushing Her Hair, 1965
Philadelphia Museum of Art NEW!
Princeton University Art Museum, New Jersey
Pulitzer Foundation for the Arts, Saint Louis, Missouri Walking Man, 1966
Royal Museums of Fine Arts of Belgium, Brussels
Royal Museums of Fine Arts of Belgium Catalogue (in French) The Hustle: the Four-Hand Pass, 1980
Seavest Collection of Contemporary American Realism Woman Against Black Window, 1989-90
The Newark Museum, New Jersey The Parking Garage, 1968
University of Iowa Museum of Art, Iowa City
Von der Heydt-Museum, Wuppertal, Germany (in German)
Walker Art Center, Minnesota
National Art Databases and Museum Inventories:
Smithsonian American Art Museum National Art Inventories List of works nationwide from two sources: the Inventory of American Paintings Executed before 1914 and the Inventory of American Sculpture (only a few percent of listings have an accompanying image)
Art Market: (e.g. records of past sales at auction; sites providing examples of the artist's signature)
Christie's Past Sale Archive (database goes as far back as 1991; images go about as far back as 1999)
Sotheby's Sold Lot Archive (database goes as far back as 1998; images where permitted by copyright go about as far back as 2001)
Pictures from Image Archives:
California State University WorldImages Database
Ciudad de la Pintura (in Spanish)
El Poder de la Palabra (The Power of the Word) (in Spanish)
PBase Photo Sharing (Tip: Set the image size to "original" to see photos at their highest resolution)
Additional Image Search Tools:
(SafeSearch set to "strict"; go to Advanced Search (Flickr/Google) or Preferences (Bing) to change)
Miscellaneous Sites:
George and Helen Segal Foundation
Ohio Outdoor Sculpture Inventory
PBS Information from the documentary George Segal: American Still Life
The Fine Arts Conservancy, Florida Interesting before-and-after examples of artwork restorations Nude, Back, resin relief
Time Magazine Cover Archive
Articles and Reference Sites:
Encyclopedia Britannica complete article on George Segal Note: The full version of the article is available only if you follow this link. If you bookmark the article and return later, or if you navigate directly to the Britannica website, you will see a 100-word preview only. Troubleshooting
Union List of Artist Names (Getty Museum) Reference sheet with basic information about the artist and pointers to other references.
Wikipedia, the "Open Content" Encyclopedia Biographical info
Antiques & Fine Art Magazine Oriental Girl, pressed paper relief, 1982
PBS "Remembering George Segal"
Resource Library Magazine Jacob's Dream, 1984-85
Salon Magazine An appreciation of the sculptor's career
George Segal at the Smithsonian Archives of American Art, Washington D.C. 1973 interview from the Oral History project
The New York Observer "Looking for Life Signs in George Segal's Work", article by Hilton Kramer
"Look Inside" and "Search Inside" Books at Amazon
| Look Inside Books: | Selections from the books listed below are scanned in, in high res. Text is clearly readable and art reproductions vary from so-so to excellent. Don't miss the fact that you can usually zoom in via the "View" drop-down menu, along the top row of Amazon's Online Reader. | |
| Search Inside Books: | Same as "Look Inside", except that the entire book is scanned in, and the text is fully searchable. This is an unbelievable resource, for research and especially for previewing a book when making the decision to buy. Note: Some "Search Inside" features are limited to people signed in to an account which has previously made a purchase at Amazon. | |
look inside
George Segal
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CrimPapers
Articles published on 26 February 2020
On 26 February 2020, 10 new articles were published in 6 journals.
The Cutting Edge of Forensic Interviewing by Kathleen Coulborn Faller
Specific Theories of Crime? A Longitudinal Assessment of the Competing Effects of Psychopathy and Self-Control by Sultan Altikriti, Kalliopi Theocharidou, Christopher J. Sullivan
Sentencing Departures and Focal Concerns: the Joint Effect of Race and Gender on Departures in United States District Courts, 2014 – 2016 by Bryan Holmes, Ben Feldmeyer, Teresa C. Kulig
International Cooperation For Counter-Terrorism: A Strategic Perspective by Syed Yusuf Saadat
Child Sexual Abuse Material in Child-Centred Institutions: Situational Crime Prevention Approaches by Tony Krone, Caroline Spiranovic, Jeremy Prichard, Paul Watters, Richard Wortley, Karen Gelb, Charlotte Hunn
A Comparative Profile of Intimate Partner Sexual Violence by Sandy Jung, Martina Faitakis, Harleen Cheema
Mental Health Characteristics of Exonerees: A Preliminary Exploration by Benjamin Alexander-Bloch, Molly A. Miller, Megan M. Zeringue, Sonia L. Rubens
Who Do You Believe? Assessing Student and Community Member Perceptions of Bystander and Victim Witnesses by Angela M. Jones
Sex and Terror: Is the Subordination of Women Associated With the Use of Terror? by Valerie M. Hudson, Kaylee B. Hodgson
In Limited Demand: the Other Foreign Volunteers in the Syrian Civil War by Barak Mendelsohn


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Bio
I was born in Poland, raised on a fat dose of pierogis and other delicious concoctions of potatoes, cabbage, and pickled everything. I studied both in Poland and in France, then followed my heart and ended up living in the United States – starting in Oklahoma, then Hawaii, and finally, Seattle.
Education
- MA in French Language and Literature from University of Wroclaw
- BA in Teaching French as a Foreign Language from University of Zielona Gora
- Certificate in Digital Photography from University of Washington
During my time in college, I had the opportunity to study at University of Caen and at Blaise Pascal University in Clermont-Ferrand, France, as an exchange student. Fun times.
Professional Experience
- Recruiter at Gravity Payments
- Listing Coordinator at Keller Williams
- Freelance Portrait Photographer
- International Program Coordinator at the University of Zielona Gora
- Program Coordinator at the City Hall in Zielona Gora
Goals
After many roles in various industries, I decided to search for a more creative, yet intellectually engaging outlet. I am currently studying the foundations of software development, and I hope to break into the tech world by the end of this year. Programming is an extension of my early adulthood passion of learning foreign languages, and fits perfectly with my love of creating.
Top 10 Bucket List Items
- Work as a software developer
- Run a marathon
- Always be in the better shape than a decade before
- Write a book
- Learn Spanish, Italian and German
- Go on a LOTR tour in New Zealand
- Get a PhD
- Have a photography exhibition
- Get a dog
- Learn how to dance


{% extends "layout.html" %} {% set global_header_text = 'Team Anchorage' %} {% block page_title %} Fresh Start: Identification {% endblock %} {% block content %} Back Identification Which the ID's do you need? Social Security Card Alaska State ID Birth Certificate Tribal ID Card I don't know? Walk Me Through {% endblock %}
I don't know?
Walk Me Through


With all our talk about estimation above, we didn’t say nuch about what precisely was being estimated.
Effect size: a common language for describing group differences. Pros and cons of this approach. Pro: comparability across studies. Con: loss of information about measures and real-world predictions; dependence on baseline variability.
Effect sizes (ES): Cohen’s = m1 - m2 / SD Units of ES easy to compare across studies Good for comparison Example: school interventions to improve achievement Necessary for meta-analysis Example: MA of infant consonant discrimination (cross method comparison) Necessary for power analysis Negative: not related to any real units Many measures of ES, e.g. r2, n2 (eta), log odds
Precision
Error bar: - standard deviation (why is this bad)? - SEM - CI
CIs for inference
Confidence intervals: 95% of these regions will contain the TRUE parameter Remember frequentists - there is a TRUE parameter
https://istats.shinyapps.io/ExploreCoverage/
But this is not our typical interpretation, which is that 95% chance parameter is in this interval That’s the BAYESIAN interpretation
Bayesian Estimation
Find the posterior distribution of the parameter of interest You can take its mean Its HPD (highest posterior density)
Confidence in confidence intervals: https://link.springer.com/article/10.3758/s13423-015-0947-8
⌨ Interactive box: non-parametric simulations where you can shuffle data across groups a bunch of times and see what kind of distribution it produces by chance


QUnit Tests for Sanitize.js
A Paragraph
A Paragraph
A Link
and more
emphasized content
A Paragraph
Second Paragraph
with some special markup
Igor & Sons, Überwald
browser.xul
www.example.com
/etc/passwd
relative link
Javascript alert


RIP General
18 Apr 2017 | knowledgeRIP exchanges UDP encapsulated packets over UDP port 520. RIP has two message types:
- Request messages are used to ask neighboring routers to send an update
- Response message carries the actual update
When a RIP router process starts, it broadcasts a Request message out each RIP-enabled interface. The begins the state machine with neighbors receiving a RIP request and responding with a RIP Response.
When the requesting router receives the Response message, it processes the enclosed information and responds in one of 3 ways, depending on the information in the RIP Response.
- If a route in the Response is new, it is entered into the route table along with the address of the advertising router.
- If there is a route for a network that RIP has already entered into the table and the new route has a lower metric (hop count), then the new route will replace the old route.
- If there is a route for a network that RIP has already entered into the table and the new route has a higher hop count and the update was originated by the recorded next-hop router, the router will be marked as unreachable for a specified holddown period. If the same neighbor is still advertising the higher hop count at the end of the holddown timer, the routing table is updated with the new metric.
RIP does not store information received in a Topology table, nor do routers have a picture of the entire topology. They receive routes in Response messages, process the information in those messages, and then move on. The RIP Response messages contain that router’s full routing table, with the exception of routes that are stressed by the split-horizon rule.
Route Summarization means there are no routes for child addresses in the RIP routing table, reducing the size of the table and allowing the router to handle more routes. Summary IP address functions more efficiently than multiple individual advertised IP routes for the following reasons:
- The summarized routes in the Rip database are processed first
- Any associated child routes that are included in a summarized route are skipped as RIP looks through the routing database, reducing the processing time required.
If auto-summary is enabled, as soon as RIP determines a summary address is required in the RIP database, a summary entry is created in the RIP routing database. As long as there are child routes for a summary address, the address remains in the routing database.
RIPv2 route summarization requires that the lowest metric of an aggregated entry, or the lowest metric of all child routes, be advertised.
show ip protocols command will verify which routes are summarized for an interface.


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Anna Vallgårda, Johan Red ström
They argue that computational material has parallels in other media, and can be treated on a continuum.


A @profile attribute pointing to an unresolvable profile should cause the entire DOM subtree to be ignored to avoid invalid Triples being generated
This is a Bad Triple which should not be generated since the profile document may redefine the rdfs: prefix but the parser cannot know this if it cannot retrieve the profile document


DREAM WITH THE FISHES
A Film Review by James Berardinelli
RATING (0 TO 10): 7.0 Alternative Scale: *** out of ****
United States, 1997 U.S. Release Date: 7/11/97 (limited) Running Length: 1:37 MPAA Classification: R (Profanity, violence, sex, nudity) Theatrical Aspect Ratio: 1.85:1
Cast: David Arquette, Brad Hunt, Cathy Moriarty, Kathryn Erbe, Patrick McGaw, J.E. Freeman, Allyce Beasley Director: Finn Taylor Producers: Johnny Wow and Mitchell Stein Screenplay: Finn Taylor based on a story by Finn Taylor and Jeffrey Brown Cinematography: Barry Stone Music: Tito Larriva U.S. Distributor: Sony Pictures Classics
The first thing I thought of when I heard the title of this film was a line from THE GODFATHER: "Luca Brasi sleeps with the fish." (Translation: Luca's dead.) Granted, sleeping isn't the same thing as dreaming, but it's close enough. However, although DREAM WITH THE FISHES deals with death and dying, those are just vehicles for other themes: the difficulty of communicating in today's world and the fear of living.
It could be argued (fairly successfully, I think) that DREAM WITH THE FISHES doesn't do enough with its subject matter. But, while it's true that there's a wealth of untapped material here, what is on screen is handled with the necessary aptitude to captivate an audience. Because the dialogue has a tendency to be trite, the characters are spottily-developed, and the acting is variable, DREAM WITH THE FISHES is not a great film. Nevertheless, it is a good film, and it's hard to deny the simple power of the climax.
The movie opens in a strange fashion, with images of a man using a pair of binoculars to gaze through neighboring windows. Moments later, the watcher, a reserved guy named Terry (David Arquette), and one of his objects, Nick (Brad Hunt), pass each other in a convenience store. Terry buys a bottle of booze that he takes with him to a nearby bridge, where he silently debates the virtues of jumping. Nick, who has followed Terry, offers an alternative: he'll trade a bottle of sleeping pills for Terry's watch. But is Terry really ready to die? Nick, on the other hand, doesn't have a choice in the matter. He has a terminal disease and the doctors give him only a month to live. So, rather than spending his last weeks in a hospital or with his concerned fiancee, Liz (Kathryn Erbe), Nick makes a pact with Terry and the two of them go on the road together, trying to determine which of them is better off: a dying man who wants to live or a living man who wants to die.
First time director Finn Taylor successfully avoids the pitfall of skidding into melodrama. DREAM WITH THE FISHES never goes for a "heartwrenching" payoff. The characters are presented on their own terms, and they don't lose their abrasive sides simply to make us more comfortable with them. The director also doesn't opt for the "arm's length" perspective -- we may not find either Terry or Nick appealing, but that doesn't prevent us from empathizing with them. DREAM WITH THE FISHES isn't meant to be watched from a detached viewpoint any more than it's intended to provoke streams of tears.
However, while the movie's approach, which shuns the nihilism of a SAVAGE NIGHTS and the mawkishness of a MY LIFE, is on-target, the tone is off. The opening scenes are rife with the mistakes of a freshman film maker, and it shows. For a while, Taylor doesn't seem to know where he's going and the actors don't have a solid handle on their characters. Although David Arquette, Brad Hunt, and Kathryn Erbe gradually grow into their on-screen alter egos, the first third of the picture is marred by awkward, unconvincing performances.
The good news is that as DREAM WITH THE FISHES progresses, it exhibits considerable improvement. Actors like Cathy Moriarty (as Nick's aunt) and J.E. Freeman (as Nick's super-macho father) add a little color and flavor to the proceedings, and an interesting contrast is presented between Nick's dream woman and his real one. We also learn that the tragedy of Terry's life isn't what we think it is.  Despite his constant assertion that he has no fantasies, we learn that his entire life is balanced on an intricate fabrication less stable than a house of cards. While the ending offers hope, it remains carefully ambiguous, shunning an obvious Hollywood denouement.
At times, DREAM WITH FISHES is dream-like. The film's grainy look creates a gritty, down-to-earth mood. There are no pastels or beautiful vistas here. Irrespective of the heavy nature of the story, there are moments of sharp comedy (a cop's reaction to a dose of acid) and giddy exuberance (naked bowling). However, DREAM WITH THE FISHES is still afflicted with the kind of quirkiness that has become a hallmark of Generation X films. At least in this case, it seems better controlled than in many similar films about ennui.
DREAM WITH THE FISHES is definitely flawed, and many of its faults are opaque, but the film possesses a compelling quality that can draw an audience into the story and make us care about the characters. Taylor gets many of the details right and offers enough small surprises to make his directorial debut worthwhile. This combined buddy movie/road movie veers off the interstate to follow a less commonly traveled course.
Copyright 1997 James Berardinelli
--=====================_868956957==_ Content-Type: text/plain; charset="us-ascii"
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
"A film is a petrified fountain of thought." - Jean Cocteau
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
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Related links: index of all rec.arts.movies.reviews reviews


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Fundamental.20Theorem.20of.20Arithmetic.html ---
(deleted)
Hi. Is Fundamental theorem of arithmetic (AKA unique factorization theorem) formalized in Lean ?
Yes.
Thank you!
See also the discussion on the "100 theorems" branch, which includes some other highlights. @Floris van Doorn Maybe this can be PR'd?
See also the discussion on the "100 theorems" branch, which includes some other highlights. Floris van Doorn Maybe this can be PR'd?
Interesting!
(deleted)
This was on my todo list for way too long, but I now refer on the 100 theorems branch to the theorem about natural numbers.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Bio
I am a Ph.D. candidate in Computer Science from University of Illinois at Urbana-Champaign, advised by Prof. Tarek F. Abdelzaher. Prior to UIUC, I received my bachelor degree from Computer Science Department in Shanghai Jiao Tong University, under the supervision of Prof. Xinbing Wang and Prof. Weinan Zhang.
Research Interest
My research interest includes machine learning and deep learning on graph, natural language, and time-series data, with applications on social network analysis, knowledge graph and dynamic systems.
Selected Publications
-
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong and Tarek F. AbdelzaherThe 61st Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2023
-
TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-limited IoT Applications
Deepti Kalasapura, Jinyang Li, Shengzhong Liu, Yizhuo Chen, Ruijie Wang, Tarek Abdelzaher, Matthew Caesar, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh Eckhardt, Denis OsipychevThe 32nd International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, July 2023.
-
Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns
Xinyi Liu, Jinning Li, Dachun Sun, Ruijie Wang, Tarek Abdelzaher, Matt Brown, Anthony Barricelli, Matthias Kirchner, Arslan BasharatIn Proc. PhoMemes (in conjunction with ICWSM), Limassol, Cyprus, June 2023.
-
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek AbdelzaherThe Web Conference, 2023
-
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graph
Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek AbdelzaherThe 36 Annual Conference on Neural Information Processing Systems (NeurIPS'22)
-
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek AbdelzaherThe Web Conference (WWW), 2022
-
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion
Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek AbdelzaherThe 31th ACM International Conference on Information and Knowledge Management (CIKM'22)
-
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek AbdelzaherInternational Conference on Research and Development in Information Retrieval (SIGIR), 2022
-
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction
Ruijie Wang, et al.International Conference on Research and Development in Information Retrieval (SIGIR), 2021
-
Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective
Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek Abdelzaher2021 International Conference on Computer Communications and Networks (ICCCN), 2021
-
Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization
Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F AbdelzaherFrontiers in Big Data, 2021.
-
Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding
Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek AbdelzaherThe ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2021.
-
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning
Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing WangIn proceeding of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
-
"Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization
Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek AbdelzaherInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020.
-
Handling Missing Sensors in Topology-aware IoT Applications with Gated Graph Neural Networks
Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek Abdelzaher.The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2020.
-
Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks
Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, TianshiWang, Jinyang Li, Chaoqi Yang, Ruijie Wang and Tarek AbdelzaherThe 29th International Conference on Computer Communications and Networks (ICCCN), 2020.
-
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing WangIn proceeding of International Conference on Information and Knowledge Management (CIKM), 2018.
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Honors & Awards


Friday June 19th at 7pm
Dinner [ 2.50 € ]
+ Interactive dancefloor
[ free ]
+ Concert [ free ]
Concerts by
Nespairght, Zurvan and Bleiddwn
Congratulations, you're invited!
Friday June 19th at 7pm
RDA Regueirão dos Anjos 69
Dinner [2.50 €]
+ Interactive dancefloor [free]
+ Concert [free]
Concerts by Nespairght, Zurvan and Bleiddwn