Group-Sparse Model Selection: Hardness and Relaxations
Author:
Funder
European Commission
ERC Future Proof
SNF
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/18/7593371/07549088.pdf?arnumber=7549088
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Discrete optimization methods for group model selection in compressed sensing;Mathematical Programming;2020-06-13
2. Weak Multiple Fault Detection Based on Weighted Morlet Wavelet-Overlapping Group Sparse for Rolling Bearing Fault Diagnosis;Applied Sciences;2020-03-18
3. High-order evaluation complexity for convexly-constrained optimization with non-Lipschitzian group sparsity terms;Mathematical Programming;2020-01-28
4. Region-based convolutional neural network using group sparse regularization for image sentiment classification;EURASIP Journal on Image and Video Processing;2019-02-01
5. A Single-Phase, Proximal Path-Following Framework;Mathematics of Operations Research;2018-11
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