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Feature Selection

479 papers

Papers per year

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Papers

Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Selecting Diverse Features via Spectral Regularization NIPS 2012
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection ACML 2012
Sparse Higher-Order Principal Components Analysis AISTATS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
Structured Sparse Canonical Correlation Analysis AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012
Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Efficient Methods for Overlapping Group Lasso NIPS 2011
Hashing Algorithms for Large-Scale Learning NIPS 2011
Nearest Neighbor based Greedy Coordinate Descent NIPS 2011
Projection onto A Nonnegative Max-Heap NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
On fast approximate submodular minimization NIPS 2011
On the accuracy of l1-filtering of signals with block-sparse structure NIPS 2011
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NIPS 2011
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NIPS 2011
On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011