中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Curvature-aware manifold learning

文献类型:期刊论文

作者Li, Yangyang1,2
刊名PATTERN RECOGNITION
出版日期2018-11-01
卷号83页码:273-286
关键词Manifold learning Riemannian curvature Second fundamental form Hessian operator
ISSN号0031-3203
DOI10.1016/j.patcog.2018.06.007
英文摘要One of the fundamental assumptions of traditional manifold learning algorithms is that the embedded manifold is globally or locally isometric to Euclidean space. Under this assumption, these algorithms divided manifold into a set of overlapping local patches which are locally isometric to linear subsets of Euclidean space. Then the learnt manifold would be a flat manifold with zero Riemannian curvature. But in the general cases, manifolds may not have this property. To be more specific, the traditional manifold learning does not consider the curvature information of the embedded manifold. In order to improve the existing algorithms, we propose a curvature-aware manifold learning algorithm called CAML. Without considering the local and global assumptions, we will add the curvature information to the process of manifold learning, and try to find a way to reduce the redundant dimensions of the general manifolds which are not isometric to Euclidean space. The experiments have shown that CAML has its own advantage comparing to other traditional manifold learning algorithms in the sense of the neighborhood preserving ratios (NPR) on synthetic databases and classification accuracies on image set classification. (C) 2018 Elsevier Ltd. All rights reserved.
语种英语
WOS记录号WOS:000442172200021
出版者ELSEVIER SCI LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/31083]  
专题中国科学院数学与系统科学研究院
通讯作者Li, Yangyang
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab MADIS, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Li, Yangyang. Curvature-aware manifold learning[J]. PATTERN RECOGNITION,2018,83:273-286.
APA Li, Yangyang.(2018).Curvature-aware manifold learning.PATTERN RECOGNITION,83,273-286.
MLA Li, Yangyang."Curvature-aware manifold learning".PATTERN RECOGNITION 83(2018):273-286.

入库方式: OAI收割

来源:数学与系统科学研究院

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