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检索条件"主题词=Sparse Subspace Constrained Nonnegative Matrix Factorization"
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Large Basic Cone and sparse subspace constrained nonnegative matrix factorization With Kullback-Leibler Divergence for Data Representation
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IEEE INTELLIGENT SYSTEMS 2019年 第4期34卷 39-47页
作者: Viet-Hang Duong Manh-Quan Bui Li, Yung-Hui Tai, Tzu-Chiang Wang, Jia-Ching Bac Lieu Univ Bac Lieu Vietnam Natl Cent Univ Dept Comp Sci & Informat Engn Taoyuan Taiwan Providence Univ Dept Comp Sci & Informat Engn Shalu Taiwan Pervas Artificial Intelligence Res PAIR Labs Taipei Taiwan
In this article, a new constrained NMF model with Kullback-Leibler (KL) divergence is developed for data representation. It is called large basic cone and sparse representation-constrained nonnegative matrix factoriza... 详细信息
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