中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
On connections between Renyi entropy Principal Component Analysis, kernel learning and graph embedding

文献类型:期刊论文

作者Ran, Zhi-Yong2; Wang, Wei3; Hu, Bao-Gang1
刊名PATTERN RECOGNITION LETTERS
出版日期2018-09-01
卷号112页码:125-130
关键词Renyi Entropy Pca Kernel Learning Graph Embedding
ISSN号0167-8655
DOI10.1016/j.patrec.2018.06.011
文献子类Article
英文摘要In this paper, we study the connections between Renyi entropy PCA, kernel learning and graph embedding. A natural complementary formulation of maximum entropy PCA, namely minimum error entropy PCA, is presented. These two formulations can be combined together to give a two-fold understanding of Renyi entropy PCA. Further, we establish connections between Renyi entropy PCA, kernel learning and graph embedding, and propose a generalized graph embedding framework that unifies a variety of existing algorithms. This proposed framework essentially covers previous graph embedding framework, and partially answers the problem of how to make use of high order statistics of data in dimensionality reduction. The theoretic development enables a close relationship between information theoretic learning, kernel learning and graph embedding. (c) 2018 Elsevier B.V. All rights reserved.
WOS关键词NONLINEAR DIMENSIONALITY REDUCTION ; FRAMEWORK
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000443950800018
出版者ELSEVIER SCIENCE BV
资助机构National Natural Science Foundation of China(61502466 ; 61503365)
源URL[http://ir.ia.ac.cn/handle/173211/27916]  
专题自动化研究所_模式识别国家重点实验室
通讯作者Wang, Wei
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Chongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China
3.Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Ran, Zhi-Yong,Wang, Wei,Hu, Bao-Gang. On connections between Renyi entropy Principal Component Analysis, kernel learning and graph embedding[J]. PATTERN RECOGNITION LETTERS,2018,112:125-130.
APA Ran, Zhi-Yong,Wang, Wei,&Hu, Bao-Gang.(2018).On connections between Renyi entropy Principal Component Analysis, kernel learning and graph embedding.PATTERN RECOGNITION LETTERS,112,125-130.
MLA Ran, Zhi-Yong,et al."On connections between Renyi entropy Principal Component Analysis, kernel learning and graph embedding".PATTERN RECOGNITION LETTERS 112(2018):125-130.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。