Alternating direction method of multipliers for nonconvex fused regression problems

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Alternating direction method of multipliers for nonconvex fused regression problems

It is well-known that the fused least absolute shrinkage and selection operator (FLASSO) has been playing an important role in signal and image processing. Recently, the nonconvex penalty is extensively investigated due to its success in sparse learning. In this paper, a novel nonconvex fused regres...

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Bibliographic Details
Main Authors:	Xiu, X., Liu, Wan-Quan, Li, L., Kong, L.
Format:	Journal Article
Published:	Elsevier Science 2019
Online Access:	http://hdl.handle.net/20.500.11937/74066

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