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Statistical Compressed Sensing of Gaussian Mixture Models

Statistical Compressed Sensing of Gaussian Mixture Models

30 January 2011
Guoshen Yu
Guillermo Sapiro
ArXiv (abs)PDFHTML

Papers citing "Statistical Compressed Sensing of Gaussian Mixture Models"

16 / 16 papers shown
Title
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Gabriel Arpino
R. Venkataramanan
68
5
0
03 Mar 2023
A Weighted Generalized Coherence Approach for Sensing Matrix Design
A Weighted Generalized Coherence Approach for Sensing Matrix Design
Ameya Anjarlekar
Ajit V. Rajwade
139
0
0
06 Oct 2021
Invertible generative models for inverse problems: mitigating
  representation error and dataset bias
Invertible generative models for inverse problems: mitigating representation error and dataset bias
Muhammad Asim
Max Daniels
Oscar Leong
Ali Ahmed
Paul Hand
182
154
0
28 May 2019
Uncertainty Autoencoders: Learning Compressed Representations via
  Variational Information Maximization
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
Aditya Grover
Stefano Ermon
100
53
0
26 Dec 2018
Modeling Sparse Deviations for Compressed Sensing using Generative
  Models
Modeling Sparse Deviations for Compressed Sensing using Generative Models
Manik Dhar
Aditya Grover
Stefano Ermon
85
79
0
04 Jul 2018
Compressive Sensing via Convolutional Factor Analysis
Compressive Sensing via Convolutional Factor Analysis
Xin Yuan
Yunchen Pu
Lawrence Carin
58
3
0
11 Jan 2017
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis
M. Rahmani
George Atia
101
135
0
15 Sep 2016
Compressive Sensing via Low-Rank Gaussian Mixture Models
Compressive Sensing via Low-Rank Gaussian Mixture Models
Xin Yuan
Hong Jiang
Gang Huang
P. Wilford
70
11
0
27 Aug 2015
The Role of Principal Angles in Subspace Classification
The Role of Principal Angles in Subspace Classification
Jiaji Huang
Qiang Qiu
Robert Calderbank
52
16
0
15 Jul 2015
Compressive Hyperspectral Imaging with Side Information
Compressive Hyperspectral Imaging with Side Information
Xin Yuan
Tsung-Han Tsai
Ruoyu Zhu
P. Llull
D. Brady
Lawrence Carin
63
164
0
22 Feb 2015
Classification and Reconstruction of High-Dimensional Signals from
  Low-Dimensional Features in the Presence of Side Information
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information
F. Renna
Liming Wang
Xin Yuan
Jianbo Yang
Galen Reeves
Robert Calderbank
Lawrence Carin
M. Rodrigues
72
45
0
01 Dec 2014
Info-Greedy sequential adaptive compressed sensing
Info-Greedy sequential adaptive compressed sensing
Gábor Braun
Sebastian Pokutta
Yao Xie
99
34
0
02 Jul 2014
Identifying Outliers in Large Matrices via Randomized Adaptive
  Compressive Sampling
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling
Xingguo Li
Jarvis Haupt
115
59
0
01 Jul 2014
Online Adaptive Statistical Compressed Sensing of Gaussian Mixture
  Models
Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models
J. Duarte-Carvajalino
Guillermo Sapiro
Guoshen Yu
Lawrence Carin
49
8
0
26 Dec 2011
Statistical Compressive Sensing of Gaussian Mixture Models
Statistical Compressive Sensing of Gaussian Mixture Models
Guoshen Yu
Guillermo Sapiro
90
16
0
20 Oct 2010
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian
  Mixture Models to Structured Sparsity
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
Guoshen Yu
Guillermo Sapiro
S. Mallat
131
610
0
15 Jun 2010
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