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Feature Learning

817 directly classified papers

Papers per year

Papers

Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006
Subordinate class recognition using relational object models NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Multi-Task Feature Learning NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
MLLE: Modified Locally Linear Embedding Using Multiple Weights NIPS 2006
Learning Dense 3D Correspondence NIPS 2006
Sparse Representation for Signal Classification NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006
Kernel Methods for Measuring Independence JMLR 2005
Learning with Decision Lists of Data-Dependent Features JMLR 2005
ICA for Watermarking Digital Images JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations JMLR 2003
Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003
Regularized Principal Manifolds JMLR 2001