The L 2,1 -norm-based unsupervised optimal feature selection with applications to action recognition

Published 2016 View Full Article

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Title
The L 2,1 -norm-based unsupervised optimal feature selection with applications to action recognition
Authors
Keywords
Feature selection, Sparse representation, Dimensionality reduction, Action recognition
Journal
PATTERN RECOGNITION
Volume 60, Issue -, Pages 515-530
Publisher
Elsevier BV
Online
2016-06-20
DOI
10.1016/j.patcog.2016.06.006

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