Papers
ICA for Watermarking Digital Images
Stéphane Bounkong, Borémi Toch, David Saad et al.
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
Jaakko Särelä, Ricardo Vigário
Blind Source Recovery: A Framework in the State Space
Khurram Waheed, Fathi M. Salem
Statistical Dynamics of On-line Independent Component Analysis
Gleb Basalyga, Magnus Rattray
A Maximum Likelihood Approach to Single-channel Source Separation
Gil-Jin Jang, Te-Won Lee
A Multiscale Framework For Blind Separation of Linearly Mixed Signals
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling et al.
MISEP -- Linear and Nonlinear ICA Based on Mutual Information
Luís B. Almeida
ICA Using Spacings Estimates of Entropy
Erik G. Learned-Miller, John W. Fisher III
Blind Source Separation via Generalized Eigenvalue Decomposition
Lucas Parra, Paul Sajda
Energy-Based Models for Sparse Overcomplete Representations
Yee Whye Teh, Max Welling, Simon Osindero et al.
Beyond Independent Components: Trees and Clusters
Francis R. Bach, Michael I. Jordan
Dependence, Correlation and Gaussianity in Independent Component Analysis
Jean-François Cardoso
An Approximate Analytical Approach to Resampling Averages
Dörthe Malzahn, Manfred Opper
Least-Squares Policy Iteration
Michail G. Lagoudakis, Ronald Parr
Sparseness of Support Vector Machines
Ingo Steinwart
Nash Q-Learning for General-Sum Stochastic Games
Junling Hu, Michael P. Wellman
A Unified Framework for Model-based Clustering
Shi Zhong, Joydeep Ghosh
An Efficient Boosting Algorithm for Combining Preferences
Yoav Freund, Raj Iyer, Robert E. Schapire et al.
Learning over Sets using Kernel Principal Angles
Lior Wolf, Amnon Shashua
Concentration Inequalities for the Missing Mass and for Histogram Rule Error
David McAllester, Luis Ortiz
On the Rate of Convergence of Regularized Boosting Classifiers
Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis
Generalization Error Bounds for Bayesian Mixture Algorithms
Ron Meir, Tong Zhang
Tracking Linear-threshold Concepts with Winnow
Chris Mesterharm