Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami David Szepesvari

Source URL: juxi.net

• Artificial neural networks
• Statistics
• Artificial intelligence
• Applied mathematics
• Cybernetics
• Computational neuroscience
• Computational statistics
• Deep learning
• Graphical models
• Bayesian network
• Pattern recognition
• Computer vision

Natural scene statistics mediate the perception of image complexity Nicolas Gauvrit, Fernando Soler-Toscano, Hector th Zenil — 28 July, 2014 Abstract Humans are sensitive to complexity and regularity in

Source URL: paris-reasoning.eu

The story of Walter Pitts: “The Man Who Tried to Redeem the World with Logic,” by Amanda Gefter http://nautil.us/issue/21/information/the-man-who-tried-to-redeem-the-world-with-logic History of neural networks: Dreyf

Source URL: redwood.berkeley.edu

• Image processing
• Perception
• Cognitive science
• Neuroscience
• Nervous system
• Computational neuroscience
• Walter Pitts
• Artificial neural network
• Scene statistics
• Dreyfus
• Simoncelli
• Scene

Matching Slides To Presentation Videos Using SIFT and Scene Background Matching Quanfu Fan Kobus Barnard

Source URL: kobus.ca

• Imaging
• Photography
• Presentation
• Slide show
• Object recognition
• RANSAC
• Scale-invariant feature transform
• Statistics
• Computer vision
• Vision

30 AprilMESSAGE FROM THE CEO On the capital market scene, recently, to our surprise, we learnt of a significant change in the provision of statistics and information pertaining to public listed companies (PLCs) on

Source URL: www.mswg.org.my

Setting the Scene: The South African Informal Sector Caroline Skinner| Urban Informality and Migrant Entrepreneurship • International Statistics • South African Context • Labour Market

Source URL: www.afsun.org

• Wheelchair basketball at the 2010 Asian Para Games
• FIBA Africa Championship for Women

A. FURLAN et al.: FREE YOUR CAMERA 1 Free your Camera: 3D Indoor Scene Understanding from

Source URL: cvgl.stanford.edu

• Artificial intelligence
• Bundle adjustment
• Cartography
• Geodesy
• Photogrammetry
• Surveying
• Simultaneous localization and mapping
• 3D reconstruction
• Pose
• Computer vision
• Statistics
• Measurement

Visual Training and Classification of Textured Scene Images Markus Turtinen and Matti Pietik¨ainen Department of Electrical and Information Engineering Machine Vision Group, Infotech Oulu P.O. Box 4500, FINUniver

Source URL: www.macs.hw.ac.uk

• Image processing
• Computer vision
• Segmentation
• Self-organizing map
• Statistical classification
• Local binary patterns
• K-nearest neighbor algorithm
• Pattern recognition
• K-means clustering
• Machine learning
• Artificial intelligence
• Computational statistics

Use Bin-Ratio Information for Category and Scene Classification Nianhua Xie1,2 , Haibin Ling2 , Weiming Hu1 , Xiaoqin Zhang1 1 National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China 2

Source URL: www.dabi.temple.edu

• Vision
• Non-parametric statistics
• Histogram
• Color histogram
• Segmentation
• Object recognition
• Computer vision
• Statistics
• Image processing

Unsupervised Scene Analysis Using Semiparametric Bayesian Models Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard, Cyrill Stachniss, and Wolfram Burgard Department of Computer Science, University of Freiburg, Germany

Source URL: sc2012.informatik.uni-freiburg.de

• Dirichlet process
• Generative model
• Supervised learning
• Unsupervised learning
• Non-parametric statistics
• Statistics
• Machine learning
• Probability and statistics