Joint Laplacian feature weights learning

DOI10.1016/j.patcog.2013.09.038zbMath1326.68238OpenAlexW2061590922MaRDI QIDQ898384

Jian Yang, Hui Yan

Publication date: 8 December 2015

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2013.09.038

zbMATH Keywords

feature selectionnonnegative\(l^2_2\)-normjoint feature weights learning

Mathematics Subject Classification ID

Applications of graph theory (05C90) Nonconvex programming, global optimization (90C26) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

\(l_{0}\)-norm based structural sparse least square regression for feature selection

Cites Work

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• Wrappers for feature subset selection
• Principal component analysis.
• Matrix Algorithms
• Learning Theory
• 10.1162/153244303322753616
• Gene selection for cancer classification using support vector machines