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Feature Learning

860 papers

Papers per year

2
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24
65
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Papers

Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008
Random Projections for Manifold Learning NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Receptive Fields without Spike-Triggering NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
On Sparsity and Overcompleteness in Image Models NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
Learning Monotonic Transformations for Classification NIPS 2007
Discriminative K-means for Clustering NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization JMLR 2007
Multi-Task Feature Learning NIPS 2006
Efficient sparse coding algorithms NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
A Local Learning Approach for Clustering NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Subordinate class recognition using relational object models NIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006
Nonnegative Sparse PCA NIPS 2006
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006
Recursive ICA NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006