Papers
21,849 papers found
Grouping Contours Via a Related Image
Praveen Srinivasan, Liming Wang, Jianbo Shi
Hebbian Learning of Bayes Optimal Decisions
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Hierarchical Fisher Kernels for Longitudinal Data
Zhengdong Lu, Jeffrey Kaye, Todd K. Leen
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Tran T. Truyen, Dinh Phung, Hung Bui et al.
High-dimensional support union recovery in multivariate regression
Guillaume R. Obozinski, Martin J. Wainwright, Michael I. Jordan
How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu, Thomas L. Griffiths
Human Active Learning
Rui M. Castro, Charles Kalish, Robert Nowak et al.
ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky, Jacob Goldberger
Implicit Mixtures of Restricted Boltzmann Machines
Vinod Nair, Geoffrey E. Hinton
Improved Moves for Truncated Convex Models
Philip Torr, M. P. Kumar
Improving on Expectation Propagation
Manfred Opper, Ulrich Paquet, Ole Winther
Inferring rankings under constrained sensing
Srikanth Jagabathula, Devavrat Shah
Influence of graph construction on graph-based clustering measures
Markus Maier, Ulrike V. Luxburg, Matthias Hein
Integrating Locally Learned Causal Structures with Overlapping Variables
David Danks, Clark Glymour, Robert E. Tillman
Interpreting the neural code with Formal Concept Analysis
Dominik Endres, Peter Foldiak
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control
Lavi Shpigelman, Hagai Lalazar, Eilon Vaadia
Kernel Change-point Analysis
Zaïd Harchaoui, Eric Moulines, Francis R. Bach
Kernelized Sorting
Novi Quadrianto, Le Song, Alex J. Smola
Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton et al.
Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger, Olivier Chapelle
Learning a discriminative hidden part model for human action recognition
Yang Wang, Greg Mori
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He, Richard S. Zemel
Learning Taxonomies by Dependence Maximization
Matthew Blaschko, Arthur Gretton
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski, Jeff G. Schneider