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Efficient isometric multi-manifold learning based on the self-organizing method

文献类型：期刊论文

作者Fan, Mingyu1; Zhang, Xiaoqin1; Qiao, Hong2,3; Zhang, Bo4,5
刊名INFORMATION SCIENCES
出版日期2016-06-01
卷号345页码:325-339
关键词Isomap Nonlinear dimensionality reduction Manifold learning Pattern analysis Multi-manifold embedding
英文摘要Geodesic distance, as an essential measurement for data similarity, has been successfully used in manifold learning. However, many geodesic based isometric manifold learning algorithms, such as the isometric feature mapping (Isomap) and GeoNLM, fail to work on data that distribute on clusters or multiple manifolds. This limits their applications because practical data sets generally distribute on multiple manifolds. In this paper, we propose a new isometric multi-manifold learning method called Multi-manifold Proximity Embedding (MPE) which can be efficiently optimized using the gradient descent method or the self-organizing method. Compared with the previous methods, the proposed method has two steps which can isometrically learn data distributed on several manifolds and is more accurate in preserving both the intra-manifold and the inter-manifold geodesic distances. The effectiveness of the proposed method in recovering the nonlinear data structure and clustering is demonstrated through experiments on both synthetically and real data sets. (C) 2016 Elsevier Inc. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]NONLINEAR DIMENSIONALITY REDUCTION ; CONNECTED NEIGHBORHOOD GRAPHS ; FEATURE-EXTRACTION ; FACE RECOGNITION ; ALGORITHM ; FRAMEWORK ; DISTANCE
收录类别SCI
语种英语
WOS记录号WOS:000372687300022
源URL[http://ir.ia.ac.cn/handle/173211/11375]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位1.Wenzhou Univ, Coll Math & Informat Sci, Wenzhou 325035, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management Control Complex Syst, Beijing 100190, Peoples R China
3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China
4.Chinese Acad Sci, LSEC, Beijing 100190, Peoples R China
5.Chinese Acad Sci, AMSS, Inst Appl Math, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Fan, Mingyu,Zhang, Xiaoqin,Qiao, Hong,et al. Efficient isometric multi-manifold learning based on the self-organizing method[J]. INFORMATION SCIENCES,2016,345:325-339.
APA Fan, Mingyu,Zhang, Xiaoqin,Qiao, Hong,&Zhang, Bo.(2016).Efficient isometric multi-manifold learning based on the self-organizing method.INFORMATION SCIENCES,345,325-339.
MLA Fan, Mingyu,et al."Efficient isometric multi-manifold learning based on the self-organizing method".INFORMATION SCIENCES 345(2016):325-339.

入库方式： OAI收割

来源：自动化研究所

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