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Feature Learning

817 directly classified papers

Papers per year

Papers

Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
Spectral Hashing NIPS 2008
Artificial Olfactory Brain for Mixture Identification NIPS 2008
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing NIPS 2008
Theory of matching pursuit NIPS 2008
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
Regularized Co-Clustering with Dual Supervision NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Receptive Fields without Spike-Triggering NIPS 2007
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization JMLR 2007
Random Projections for Manifold Learning NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
Discriminative K-means for Clustering NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Learning Monotonic Transformations for Classification NIPS 2007
On Sparsity and Overcompleteness in Image Models NIPS 2007
A Local Learning Approach for Clustering NIPS 2006
Recursive ICA NIPS 2006
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006
Nonnegative Sparse PCA NIPS 2006