A Multiplicative Update Algorithm for Nonnegative Convex polyhedral cone learning

被引：0
|
作者：
Cai, Qizhao [1 ]
Xie, Kan [1 ]
He, Zhaoshui [1 ]
机构：
[1] Guangdong Univ Technol, Guangzhou 510006, Guangdong, Peoples R China
来源：
PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2014年
关键词：
BLIND SEPARATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The nonnegative convex polyhedral cone (NCPC) learning is discussed in this paper. By exploiting the multiplicative update nonnegative quadratic programming, a multiplicative update algorithm is developed for NCPC learning. The proposed algorithm is promising for nonnegative matrix factorization (NMF) and we verify this by numerical experiments.
引用
收藏
页码：1339 / 1343
页数：5
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