CASIA OpenIR  > 中国科学院分子影像重点实验室
Adaptive total-variation for non-negative matrix factorization on manifold
Leng, Chengcai1,2,3; Cai, Guorong3,4; Yu, Dongdong3; Wang, Zongyue4
Source PublicationPATTERN RECOGNITION LETTERS
2017-10-01
Volume98Pages:68-74
SubtypeArticle
AbstractNon-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.
KeywordAdaptive Total Variation Non-negative Matrix Factorization Manifold Learning
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.patrec.2017.08.027
WOS KeywordNONLINEAR DIMENSIONALITY REDUCTION ; BIOLUMINESCENCE TOMOGRAPHY ; FACE RECOGNITION ; REGULARIZATION ; REPRESENTATION ; ALGORITHMS ; FRAMEWORK ; PARTS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000411766300010
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20733
Collection中国科学院分子影像重点实验室
Affiliation1.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
Recommended Citation
GB/T 7714
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Leng, Chengcai]'s Articles
[Cai, Guorong]'s Articles
[Yu, Dongdong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Leng, Chengcai]'s Articles
[Cai, Guorong]'s Articles
[Yu, Dongdong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Leng, Chengcai]'s Articles
[Cai, Guorong]'s Articles
[Yu, Dongdong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.