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Adaptive total-variation for non-negative matrix factorization on manifold
Leng, Chengcai1,2,3; Cai, Guorong3,4; Yu, Dongdong3; Wang, Zongyue4
2017-10-01
发表期刊PATTERN RECOGNITION LETTERS
卷号98页码:68-74
文章类型Article
摘要Non-negative matrix factorization (NMF) has been widely applied in information retrieval and computer vision. However, its performance has been restricted due to its limited tolerance to data noise, as well as its inflexibility in setting regularization parameters. In this paper, we propose a novel sparse matrix factorization method for data representation to solve these problems, termed Adaptive Total-Variation Constrained based Non-Negative Matrix Factorization on Manifold (ATV-NMF). The proposed ATV can adaptively choose the anisotropic smoothing scheme based on the gradient information of data to denoise or preserve feature details by incorporating adaptive total variation into the factorization process. Notably, the manifold graph regularization is also incorporated into NMF, which can discover intrinsic geometrical structure of data to enhance the discriminability. Experimental results demonstrate that the proposed method is very effective for data clustering in comparison to the state-of-the-art algorithms on several standard benchmarks. (C) 2017 Elsevier B. V. All rights reserved.
关键词Adaptive Total Variation Non-negative Matrix Factorization Manifold Learning
WOS标题词Science & Technology ; Technology
DOI10.1016/j.patrec.2017.08.027
关键词[WOS]NONLINEAR DIMENSIONALITY REDUCTION ; BIOLUMINESCENCE TOMOGRAPHY ; FACE RECOGNITION ; REGULARIZATION ; REPRESENTATION ; ALGORITHMS ; FRAMEWORK ; PARTS
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000411766300010
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20733
专题中国科学院分子影像重点实验室
作者单位1.Northwest Univ Xian, Sch Math, Xian 710127, Shaanxi, Peoples R China
2.Nanchang Hangkong Univ, Sch Math & Informat Sci, Nanchang 330063, Jiangxi, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
4.Jimei Univ, Coll Comp Engn, Xiamen 361021, Peoples R China
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Leng, Chengcai,Cai, Guorong,Yu, Dongdong,et al. Adaptive total-variation for non-negative matrix factorization on manifold[J]. PATTERN RECOGNITION LETTERS,2017,98:68-74.
APA Leng, Chengcai,Cai, Guorong,Yu, Dongdong,&Wang, Zongyue.(2017).Adaptive total-variation for non-negative matrix factorization on manifold.PATTERN RECOGNITION LETTERS,98,68-74.
MLA Leng, Chengcai,et al."Adaptive total-variation for non-negative matrix factorization on manifold".PATTERN RECOGNITION LETTERS 98(2017):68-74.
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