On group-wise ℓp regularization: Theory and efficient algorithms

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On group-wise ℓp regularization: Theory and efficient algorithms

Following advances in compressed sensing and high-dimensional statistics, many pattern recognition methods have been developed with ℓ1 regularization, which promotes sparse solutions. In this work, we instead advocate the use of ℓp (2 ≥ p > 1) regularization in a group setting which provides a be...

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Bibliographic Details
Main Author:	Pham, DucSon
Format:	Journal Article
Published:	Elsevier 2015
Online Access:	http://hdl.handle.net/20.500.11937/58894

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