Papers
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
Multiple Instance Learning for Computer Aided Diagnosis
Murat Dundar, Balaji Krishnapuram, R. B. Rao et al.
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle, Bernhard Schölkopf
Natural Actor-Critic for Road Traffic Optimisation
Silvia Richter, Douglas Aberdeen, Jin Yu
Map-Reduce for Machine Learning on Multicore
Cheng-tao Chu, Sang K. Kim, Yi-an Lin et al.
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
Wenye Li, Kin-hong Lee, Kwong-sak Leung
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
Alexandre Lacasse, François Laviolette, Mario Marchand et al.
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
Nonnegative Sparse PCA
Ron Zass, Amnon Shashua
Inducing Metric Violations in Human Similarity Judgements
Julian Laub, Klaus-Robert Müller, Felix A. Wichmann et al.
A recipe for optimizing a time-histogram
Hideaki Shimazaki, Shigeru Shinomoto
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces
Moritz Grosse-wentrup, Klaus Gramann, Martin Buss
Stochastic Relational Models for Discriminative Link Prediction
Kai Yu, Wei Chu, Shipeng Yu et al.
Data Integration for Classification Problems Employing Gaussian Process Priors
Mark Girolami, Mingjun Zhong
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
Jerónimo Arenas-garcía, Kaare B. Petersen, Lars K. Hansen
iLSTD: Eligibility Traces and Convergence Analysis
Alborz Geramifard, Michael Bowling, Martin Zinkevich et al.