Title :
A multiplicative update algorithm for nonnegative convex polyhedral cone learning
Author :
Qizhao Cai ; Kan Xie ; Zhaoshui He
Author_Institution :
Guangdong Univ. of Technol., Guangzhou, China
Abstract :
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.
Keywords :
computational geometry; learning (artificial intelligence); matrix decomposition; quadratic programming; NCPC learning; NMF; multiplicative update algorithm; multiplicative update nonnegative quadratic programming; nonnegative convex polyhedral cone learning; nonnegative matrix factorization; numerical experiments; Educational institutions; Equations; Matrix decomposition; Quadratic programming; Signal processing; Signal processing algorithms;
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
DOI :
10.1109/IJCNN.2014.6889623
