A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications

3 January 2013

Papers citing "A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications"

6 / 6 papers shown

Title
$Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint sparse recovery: algorithm and analysis$ Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint sparse recovery: algorithm and analysis Armenak Petrosyan Konstantin Pieper Hoang Tran CML 20 0 0 21 Nov 2023
Block-wise Scrambled Image Recognition Using Adaptation Network Koki Madono Masayuki Tanaka Masaki Onishi T. Ogawa PICV 54 45 0 21 Jan 2020
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 90 98 0 27 Aug 2019
A Scale Invariant Approach for Sparse Signal Recovery Yaghoub Rahimi Chao Wang Hongbo Dong Y. Lou 60 75 0 20 Dec 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees Francesco Locatello Michael Tschannen Gunnar Rätsch Martin Jaggi 95 26 0 31 May 2017
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization Kejun Huang N. Sidiropoulos A. Liavas 98 172 0 13 Jun 2015