Papers
176,624 papers found
Hybrid Motion Planning Using Minkowski Sums
Jyh-Ming Lien
HyPE: Hybrid Particle-Element Approach for Recursive Bayesian Searching and Tracking
Benjamin Lavis, Tomonari Furukawa
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 Localization Robustness in Monocular SLAM Using a High-Speed Camera
Peter Gemeiner, Andrew Davison, Markus Vincze
Improving on Expectation Propagation
Manfred Opper, Ulrich Paquet, Ole Winther
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
Ashwin Srinivasan, Ross D. King
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
JNCC2: The Java Implementation Of Naive Credal Classifier 2
Giorgio Corani, Marco Zaffalon
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
Laser and Vision Based Outdoor Object Mapping
Bertrand Douillard, Dieter Fox, Fabio Ramos
Learning a discriminative hidden part model for human action recognition
Yang Wang, Greg Mori
Learning Balls of Strings from Edit Corrections
Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet et al.
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
Learning Control Knowledge for Forward Search Planning
Sungwook Yoon, Alan Fern, Robert Givan
Learning from Multiple Sources
Koby Crammer, Michael Kearns, Jennifer Wortman