Papers
Support Vector Machines on a Budget
Ofer Dekel, Yoram Singer
Chained Boosting
Christian R. Shelton, Wesley Huie, Kin F. Kan
Image Retrieval and Classification Using Local Distance Functions
Andrea Frome, Yoram Singer, Jitendra Malik
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype
Tobias Sing, Niko Beerenwinkel
A Humanlike Predictor of Facial Attractiveness
Amit Kagian, Gideon Dror, Tommer Leyvand et al.
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing
Yuanhao Chen, Long Zhu, Alan L. Yuille
The Neurodynamics of Belief Propagation on Binary Markov Random Fields
Thomas Ott, Ruedi Stoop
Recursive ICA
Honghao Shan, Lingyun Zhang, Garrison W. Cottrell
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments
Michael I. Mandel, Daniel P. Ellis, Tony Jebara
Parameter Expanded Variational Bayesian Methods
Tommi S. Jaakkola, Yuan Qi
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel, Adam Coates, Morgan Quigley et al.
Context Effects in Category Learning: An Investigation of Four Probabilistic Models
Michael Mozer, Michael Shettel, Michael P. Holmes
Approximate inference using planar graph decomposition
Amir Globerson, Tommi S. Jaakkola
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
Causal inference in sensorimotor integration
Konrad P. Körding, Joshua B. Tenenbaum
Analysis of Contour Motions
Ce Liu, William T. Freeman, Edward H. Adelson
Multi-Instance Multi-Label Learning with Application to Scene Classification
Zhi-Li Zhang, Min-ling Zhang
Differential Entropic Clustering of Multivariate Gaussians
Jason V. Davis, Inderjit S. Dhillon
Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani, S. S. Keerthi
Using Combinatorial Optimization within Max-Product Belief Propagation
Daniel Tarlow, Gal Elidan, Daphne Koller et al.
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
Alexander T. Ihler, Padhraic Smyth
Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'aurelio Ranzato, Christopher Poultney, Sumit Chopra et al.
High-Dimensional Graphical Model Selection Using ℓ_1-Regularized Logistic Regression
Martin J. Wainwright, John D. Lafferty, Pradeep K. Ravikumar
Real-time adaptive information-theoretic optimization of neurophysiology experiments
Jeremy Lewi, Robert Butera, Liam Paninski
A selective attention multi--chip system with dynamic synapses and spiking neurons
Chiara Bartolozzi, Giacomo Indiveri