Adaptive total-variation for non-negative matrix factorization on manifold
文献类型：期刊论文
| 作者 | Leng, Chengcai1,2,3; Cai, Guorong3,4; Yu, Dongdong3 ; Wang, Zongyue4
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| 刊名 | PATTERN RECOGNITION LETTERS
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 98页码:68-74 |
| 关键词 | Adaptive Total Variation Non-negative Matrix Factorization Manifold Learning |
| DOI | 10.1016/j.patrec.2017.08.027 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | NONLINEAR DIMENSIONALITY REDUCTION ; BIOLUMINESCENCE TOMOGRAPHY ; FACE RECOGNITION ; REGULARIZATION ; REPRESENTATION ; ALGORITHMS ; FRAMEWORK ; PARTS |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000411766300010 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20733]  |
| 专题 | 自动化研究所_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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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