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Sparse Learning

135 directly classified papers

Papers per year

Papers

Associative Memory via a Sparse Recovery Model NIPS 2015
Sparse PCA via Bipartite Matchings NIPS 2015
Sparse and Low-Rank Tensor Decomposition NIPS 2015
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NIPS 2015
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015
An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching NIPS 2015
Structural Sparse Tracking CVPR 2015
Motion Part Regularization: Improving Action Recognition via Trajectory Selection CVPR 2015
Sparse Composite Quantization CVPR 2015
Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm NIPS 2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions NIPS 2014
Quality-based Multimodal Classification using Tree-Structured Sparsity CVPR 2014
Sparse Bayesian structure learning with “dependent relevance determination” priors NIPS 2014
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Sparse Additive Text Models with Low Rank Background NIPS 2013
One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013
Correlation Adaptive Subspace Segmentation by Trace Lasso ICCV 2013
Online Robust Dictionary Learning CVPR 2013
Unnatural L0 Sparse Representation for Natural Image Deblurring CVPR 2013
Compressed Hashing CVPR 2013
Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013
Dirty Statistical Models NIPS 2013