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compressive sensing

126 papers

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Also known as

HCS CS

Co-occurring keywords

image reconstruction (663) sparse recovery (113) compressed sensing (198) convex optimization (1320) convolutional neural network (4216) neural network (6616) dictionary learning (277) signal reconstruction (43) phase retrieval (57) hyperspectral imaging (82)

Papers

Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Phase Retrieval using Alternating Minimization NIPS 2013
Designed Measurements for Vector Count Data NIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NIPS 2013
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NIPS 2013
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
Exact Recovery of Sparsely-Used Dictionaries COLT 2012
Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
Compressive Sensing MRI with Wavelet Tree Sparsity NIPS 2012
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NIPS 2012
Reconstruction from Anisotropic Random Measurements COLT 2012
Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
The Sample Complexity of Dictionary Learning JMLR 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NIPS 2011
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods AISTATS 2011
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
Efficient Recovery of Jointly Sparse Vectors NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NIPS 2009
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) NIPS 2009
Resolution Limits of Sparse Coding in High Dimensions NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007