Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks Varun Jampani1 , Martin Kiefel1,2 and Peter V. Gehler1,2 Max Planck Institute for Intelligent Systems, T¨ubingen, 72076

Source URL: files.is.tue.mpg.de

Supplementary Material for “Distributed Online Learning for Latent Dirichlet Allocation” JinYeong Bak, Dongwoo Kim and Alice Oh Department of Computer Science Korea Advanced Institute of Science and Technology

Source URL: uilab.kaist.ac.kr

Deep Belief Net Learning in a Long-Range Vision System for Autonomous Off-Road Driving Raia Hadsell1 Ayse Erkan1 Pierre Sermanet1,2 Marco Scoffier2 Urs Muller2 Yann LeCun1 (1) Courant Institute of Mathematical Sciences N

Source URL: sermanet.free.fr

Time Series Prediction Jaakko Hollm´en Helsinki Institute for Information Techhnology Aalto University, Department of Computer Science Espoo, Finland Web: http://users.ics.aalto.fi/jhollmen/

Source URL: www.spaceclimate.fi

• Machine learning
• Numerical analysis
• Curse of dimensionality
• Dynamic programming
• Ogonek
• Data mining
• Prediction
• Time series

Multi-Cue Zero-Shot Learning with Strong Supervision Zeynep Akata, Mateusz Malinowski, Mario Fritz and Bernt Schiele arXiv:1603.08754v1 [cs.CV] 29 MarMax-Planck Institute for Informatics

Source URL: arxiv.org

• Artificial neural networks
• Artificial intelligence
• Computing
• Computational neuroscience
• Cybernetics
• Machine learning
• Word2vec
• Word embedding
• Automatic image annotation
• Convolutional neural network
• Annotation
• Attribute

Stanford Center for Opportunity Policy in Education Redesigning School Accountability and Support: Progress in Pioneering States By Channa M. Cook-Harvey, Learning Policy Institute Elizabeth Leisy Stosich, Stanford Cent

Source URL: dev.learningpolicyinstitute.org

Spatio-Temporal Image Boundary Extrapolation arXiv:1605.07363v1 [cs.CV] 24 May 2016 Apratim Bhattacharyya Max Planck Institute for Informatics

Source URL: arxiv.org

• Artificial neural networks
• Computational neuroscience
• Cybernetics
• Applied mathematics
• Neuroscience
• Computational statistics
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Image segmentation
• Physics
• Prediction

EÆcient EM Learning with Tabulation for Parameterized Logic Programs Yoshitaka KAMEYA and Taisuke SATO Dept. of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Oo

Source URL: rjida.meijo-u.ac.jp

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models Hanie Sedghi Allen Institute for AI⇤

Source URL: www-scf.usc.edu

Evaluation of the Stimulating Physics Network Final Report for The Institute of Physics and National Science Learning Centre by

Source URL: www.stimulatingphysics.org