Papers
176,624 papers found
Combining PAC-Bayesian and Generic Chaining Bounds
Jean-Yves Audibert, Olivier Bousquet
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets"
Gaëlle Loosli, Stéphane Canu
Comparing Bayesian models for multisensory cue combination without mandatory integration
Ulrik Beierholm, Ladan Shams, Wei J. Ma et al.
Competition Adds Complexity
Judy Goldsmith, Martin Mundhenk
Composition of Vector Fields for Multi-Robot Manipulation via Caging
Jonathan Fink, Nathan Michael, and Vijay Kumar
Compressed Regression
Shuheng Zhou, Larry Wasserman, John D. Lafferty
Computing Robust Counter-Strategies
Michael Johanson, Martin Zinkevich, Michael Bowling
Concave Learners for Rankboost
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
Configuration Estimates Improve Pedestrian Finding
Duan Tran, David A. Forsyth
Congruence between model and human attention reveals unique signatures of critical visual events
Robert Peters, Laurent Itti
Consistent Feature Selection for Pattern Recognition in Polynomial Time
Roland Nilsson, José M. Peña, Johan Björkegren et al.
Consistent Minimization of Clustering Objective Functions
Ulrike V. Luxburg, Stefanie Jegelka, Michael Kaufmann et al.
Context and Feature Sensitive Re-sampling from Discrete Surface Measurements
Dave Cole and Paul Newman
Continuous Time Particle Filtering for fMRI
Lawrence Murray, Amos J. Storkey
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri et al.
Control of Many Agents Using Few Instructions
Timothy Bretl
Convex Clustering with Exemplar-Based Models
Danial Lashkari, Polina Golland
Convex Learning with Invariances
Choon H. Teo, Amir Globerson, Sam T. Roweis et al.
Convex Relaxations of Latent Variable Training
Yuhong Guo, Dale Schuurmans
Cooled and Relaxed Survey Propagation for MRFs
Hai L. Chieu, Wee S. Lee, Yee W. Teh
Covariate Shift Adaptation by Importance Weighted Cross Validation
Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
Fabio Ramos, Dieter Fox, and Hugh Durrant-Whyte