32 citations · 50 across the 5 of their papers we have counts for
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cs.LG2013
Group-Sparse Model Selection: Hardness and Relaxations
Luca Baldassarre, Nirav Bhan, Volkan Cevher +2
Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing. The main pr…
cs.IT2013★ 32 cited
Improved Bounds on RIP for Generalized Orthogonal Matching Pursuit
Siddhartha Satpathi, Rajib Lochan Das, Mrityunjoy Chakraborty
Generalized Orthogonal Matching Pursuit (gOMP) is a natural extension of OMP algorithm where unlike OMP, it may select atoms in each iteration. In this paper, we demons…