Title
Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph.
Abstract
Non-negative matrix factorization (NMF) has recently attracted much attention due to its good interpretation in perception science and widely applications in various fields. In this paper, a novel graph regularized NMF algorithm called NMF with locality constrained adaptive graph (NMF-LCAG) is proposed. Compared with other NMF based algorithms, the proposed NMF-LCAG algorithm has the following adv...
Year
DOI
Venue
2020
10.1109/TCSVT.2019.2892971
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
Field
DocType
Manifolds,Matrix decomposition,Clustering algorithms,Linear programming,Dimensionality reduction,Task analysis,Optimization
Convergence (routing),Manifold structure,Graph,Locality,Pattern recognition,Computer science,Matrix (mathematics),Matrix decomposition,Algorithm,Artificial intelligence,Non-negative matrix factorization
Journal
Volume
Issue
ISSN
30
2
1051-8215
Citations 
PageRank 
References 
7
0.41
40
Authors
6
Name
Order
Citations
PageRank
Yugen Yi19215.25
Jianzhong Wang221417.72
Zhou Wei32422.00
Caixia Zheng4172.88
Jun Kong515814.14
Shaojie Qiao6415.16