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Feature Learning

860 papers

Papers per year

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24
65
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Papers

Learning person-object interactions for action recognition in still images NIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison 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
Structured sparse coding via lateral inhibition NIPS 2011
Sparse Manifold Clustering and Embedding NIPS 2011
A Close Look to Margin Complexity and Related Parameters COLT 2011
A Dirty Model for Multi-task Learning NIPS 2010
Deep Coding Network 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
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Structured sparsity-inducing norms through submodular functions NIPS 2010
Feature Set Embedding for Incomplete Data NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Energy Disaggregation via Discriminative Sparse Coding NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives NIPS 2010
Moreau-Yosida Regularization for Grouped Tree Structure Learning NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010