Title
Positive and Negative Label-Driven Nonnegative Matrix Factorization
Abstract
Positive label is often used as the supervisory information in the learning scenario, which refers to the category that a sample is assigned to. However, another side information lying in the labels, which describes the categories that a sample is exclusive of, have been largely ignored. In this paper, we propose a nonnegative matrix factorization (NMF) based classification method leveraging both ...
Year
DOI
Venue
2021
10.1109/TCSVT.2020.3027570
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
DocType
Volume
Optimization,Task analysis,Manifolds,Data models,Electronic mail,Fans,Urban areas
Journal
31
Issue
ISSN
Citations 
7
1051-8215
3
PageRank 
References 
Authors
0.37
0
6
Name
Order
Citations
PageRank
Wenhui Wu1444.65
Yuheng Jia29313.13
Shiqi Wang31281120.37
Ran Wang443924.42
Hongfei Fan561.09
Sam Kwong64590315.78