Conditioning of Random Block Subdictionaries with Applications to
Block-Sparse Recovery and Regression

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Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression

20 September 2013

Marco F. Duarte

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Papers citing "Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression"

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Title
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression Joseph Shenouda Rahul Parhi Kangwook Lee Robert D. Nowak 114 13 0 25 May 2023
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms Yanna Bai Wei Chen Jie Chen Weisi Guo 121 70 0 27 Jul 2020
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring M. K. Elyaderani Swayambhoo Jain Jeff Druce S. Gonella Jarvis Haupt 55 5 0 29 Aug 2017
Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity Shashank Ranjan M. Vidyasagar 49 13 0 19 Jun 2016
A Multiple Hypothesis Testing Approach to Low-Complexity Subspace Unmixing W. Bajwa D. Mixon 98 2 0 07 Aug 2014

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