A unified algorithm for mixed $$l_{2,p}$$ l 2 , p -minimizations and its application in feature selection

Title
A unified algorithm for mixed $$l_{2,p}$$ l 2 , p -minimizations and its application in feature selection
Authors
Keywords
Mixed matrix norm, Non-Lipschitz continuous, Unified algorithm, Gradient projection
Journal
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
Volume 58, Issue 2, Pages 409-421
Publisher
Springer Nature
Online
2014-03-07
DOI
10.1007/s10589-014-9648-x

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search