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Recovering Graph-Structured Activations using Adaptive Compressive
  Measurements
v1v2v3 (latest)

Recovering Graph-Structured Activations using Adaptive Compressive Measurements

Asilomar Conference on Signals, Systems and Computers (ACSSC), 2013
1 May 2013
A. Krishnamurthy
James Sharpnack
Aarti Singh
ArXiv (abs)PDFHTML

Papers citing "Recovering Graph-Structured Activations using Adaptive Compressive Measurements"

11 / 11 papers shown
Iterative Alpha Expansion for estimating gradient-sparse signals from
  linear measurements
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements
Sheng Xu
Z. Fan
282
6
0
15 May 2019
Robust Low-Complexity Randomized Methods for Locating Outliers in Large
  Matrices
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices
Xingguo Li
Jarvis Haupt
216
2
0
07 Dec 2016
Sequential Information Guided Sensing
Sequential Information Guided Sensing
Ruiyang Song
Yao Xie
Sebastian Pokutta
201
0
0
01 Sep 2015
Sequential Sensing with Model Mismatch
Sequential Sensing with Model Mismatch
Ruiyang Song
Yao Xie
Sebastian Pokutta
184
1
0
26 Jan 2015
Sequential Changepoint Approach for Online Community Detection
Sequential Changepoint Approach for Online Community DetectionIEEE Signal Processing Letters (IEEE SPL), 2014
David Marangoni-Simonsen
Yao Xie
622
19
0
22 Jul 2014
On the Power of Adaptivity in Matrix Completion and Approximation
On the Power of Adaptivity in Matrix Completion and Approximation
A. Krishnamurthy
Aarti Singh
223
35
0
14 Jul 2014
Info-Greedy sequential adaptive compressed sensing
Info-Greedy sequential adaptive compressed sensingIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2014
Gábor Braun
Sebastian Pokutta
Yao Xie
489
35
0
02 Jul 2014
Identifying Outliers in Large Matrices via Randomized Adaptive
  Compressive Sampling
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive SamplingIEEE Transactions on Signal Processing (IEEE TSP), 2014
Xingguo Li
Jarvis Haupt
507
59
0
01 Jul 2014
Adaptive Sensing for Estimation of Structured Sparse Signals
Adaptive Sensing for Estimation of Structured Sparse SignalsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Ervin Tánczos
R. Castro
324
33
0
27 Nov 2013
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy
  Linear Measurements
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear MeasurementsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Akshay Soni
Jarvis Haupt
366
22
0
18 Jun 2013
Recovering Block-structured Activations Using Compressive Measurements
Recovering Block-structured Activations Using Compressive Measurements
Sivaraman Balakrishnan
Mladen Kolar
Alessandro Rinaldo
Aarti Singh
378
23
0
15 Sep 2012
1
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