Unsupervised Feature Selection via Graph Regularized Nonnegative CP Decomposition
Author:
Affiliation:
1. Department of Automation, Xiamen University, Xiamen, China
2. School of Mathematics and Physics, University of Portsmouth, Portsmouth, U.K.
Funder
Youth Innovation Fund of Xiamen
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10008914/09737358.pdf?arnumber=9737358
Reference46 articles.
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5. Laplacian score for feature selection;he;Proc 19th Int Conf Neural Inf Process Syst,0
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