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Sparse Optimization

347 papers

Papers per year

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Papers

Deblurring Text Images via L0-Regularized Intensity and Gradient Prior CVPR 2014
Total Variation Blind Deconvolution: The Devil is in the Details CVPR 2014
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD CVPR 2014
Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices CVPR 2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014
Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Low-Rank Matrix and Tensor Completion via Adaptive Sampling NIPS 2013
Near-Optimal Entrywise Sampling for Data Matrices NIPS 2013
Memory Limited, Streaming PCA NIPS 2013
Sparse Additive Text Models with Low Rank Background NIPS 2013
Dirty Statistical Models NIPS 2013
Polar Operators for Structured Sparse Estimation NIPS 2013
Designed Measurements for Vector Count Data NIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Fast Convolutional Sparse Coding CVPR 2013
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces CVPR 2013
Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013
Unnatural L0 Sparse Representation for Natural Image Deblurring CVPR 2013
GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity ICCV 2013
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013