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Feature Learning

817 directly classified papers

Papers per year

Papers

Sparse Filtering NIPS 2011
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
Dimensionality Reduction Using the Sparse Linear Model NIPS 2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NIPS 2011
ShareBoost: Efficient multiclass learning with feature sharing NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
Learning person-object interactions for action recognition in still images NIPS 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NIPS 2011
Sparse Manifold Clustering and Embedding NIPS 2011
A Close Look to Margin Complexity and Related Parameters COLT 2011
Learning Anchor Planes for Classification NIPS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation NIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison NIPS 2011
Structured sparse coding via lateral inhibition NIPS 2011
The Kernel Beta Process NIPS 2011
PiCoDes: Learning a Compact Code for Novel-Category Recognition NIPS 2011
Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010
Feature Selection using Multiple Streams AISTATS 2010
Learning Efficient Markov Networks NIPS 2010
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NIPS 2010
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NIPS 2010
(RF)^2 -- Random Forest Random Field NIPS 2010