Event section: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » 23rd Annual Conference on Neural Information Processing Systems (NIPS), Vancouver 2009 » Conference Sessions Conference Sessions

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Conference Sessions

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Conference Sessions

Spotlights Mini Symposia


Oral Session 1: Information Theory and Estimation
[syn] 5227 views, 19:40 Multi-Label Prediction via Compressed SensingMulti-Label Prediction via Compressed Sensing Daniel Hsu Daniel Hsu
Oral Session 2: Images and Codes
[syn] 6797 views, 19:33 An Additive Latent Feature Model for Transparent Object RecognitionAn Additive Latent Feature Model for Transparent Object Recognition Mario Fritz Mario Fritz	[syn] 4044 views, 19:57 Semi-Supervised Learning in Gigantic Image CollectionsSemi-Supervised Learning in Gigantic Image Collections Rob Fergus Rob Fergus 1 comment	[syn] 8277 views, 18:22 Non-Parametric Bayesian Dictionary Learning for Sparse Image RepresentationsNon-Parametric Bayesian Dictionary Learning for Sparse Image Representations Mingyuan Zhou Mingyuan Zhou 2 comments	[syn] 4530 views, 19:11 Locality-Sensitive Binary Codes from Shift-Invariant KernelsLocality-Sensitive Binary Codes from Shift-Invariant Kernels Maxim Raginsky Maxim Raginsky
Oral Session 3: Deep Learning and Network Models
[syn] 3363 views, 22:34 Discriminative Network Models of SchizophreniaDiscriminative Network Models of Schizophrenia Guillermo A. Cecchi Guillermo A. Cecchi
Oral Session 4: Cognitive Science and EEG Analysis
[syn] 4601 views, 16:09 Explaining Human Multiple Object Tracking as Resource-Constrained Approximate Inference in a Dynamic Probabilistic ModelExplaining Human Multiple Object Tracking as Resource-Constrained Approximate Inference in ... Edward Vul Edward Vul	[syn] 3357 views, 12:28 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG ClassificationOptimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG ... Zhouchen Lin Zhouchen Lin
Oral Session 5: Neuroscience
[syn] 5951 views, 19:02 Functional Network Reorganization In Motor Cortex Can Be Explained by Reward-Modulated Hebbian LearningFunctional Network Reorganization In Motor Cortex Can Be Explained by ... Robert Legenstein Robert Legenstein	[syn] 2936 views, 17:34 Know Thy Neighbour: A Normative Theory of Synaptic DepressionKnow Thy Neighbour: A Normative Theory of Synaptic Depression Jean-Pascal Pfister Jean-Pascal Pfister
Oral Session 6: Theory, Optimization and Games
[syn] 4092 views, 18:53 Efficient Learning using Forward-Backward SplittingEfficient Learning using Forward-Backward Splitting John Duchi John Duchi	[syn] 3548 views, 21:22 On Stochastic and Worst-case Models for InvestingOn Stochastic and Worst-case Models for Investing Elad Hazan Elad Hazan	[syn] 4399 views, 20:49 Bootstrapping from Game Tree SearchBootstrapping from Game Tree Search Joel Veness Joel Veness	[syn] 3399 views, 22:34 Kernel Choice and Classifiability for RKHS Embeddings of Probability DistributionsKernel Choice and Classifiability for RKHS Embeddings of Probability Distributions Bharath K. Sriperumbudur Bharath K. Sriperumbudur
Oral session 7: Vision and Inference
[syn] 3542 views, 18:07 An LP View of the M-Best MAP ProblemAn LP View of the M-Best MAP Problem Menachem Fromer Menachem Fromer
Oral session 8: Probabilistic Models and Kernels
[syn] 6707 views, 21:23 Reading Tea Leaves: How Humans Interpret Topic ModelsReading Tea Leaves: How Humans Interpret Topic Models Jordan Boyd-Graber Jordan Boyd-Graber	[syn] 5360 views, 21:15 Sharing Features among Dynamical Systems with Beta ProcessesSharing Features among Dynamical Systems with Beta Processes Emily Fox Emily Fox	[syn] 6833 views, 17:52 Fast Subtree Kernels on GraphsFast Subtree Kernels on Graphs Nino Shervashidze Nino Shervashidze
Oral session 10: Neural Modeling and Imaging
[syn] 3882 views, 21:47 Time-rescaling Methods for the Estimation and Assessment of Non-Poisson Neural Encoding ModelsTime-rescaling Methods for the Estimation and Assessment of Non-Poisson Neural ... Jonathan Pillow Jonathan Pillow

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