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Sparsity Within and Across Overlapping Groups
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DOI：10.1109/LSP.2017.2785183.png)
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摘要
En 中文
Recently, penalty functions promoting signals that are sparse within and across groups have been proposed. In this letter, we propose a modified penalty function that offers additional flexibility in forming groups. We study the properties of the penalty function and propose a new algorithm that can be used in energy minimization formulations that employ it. We demonstrate the effects of using the penalty function on a simple linear inverse problem.
Keyword:
Elitist LASSO
exclusive LASSO
sparsity within and across groups (SWAG)
structured sparsity
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期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
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