Effective feature extraction in high-dimensional space

Yanwei Pang; Yuan Yuan; Xuelong Li

doi:10.1109/TSMCB.2008.927276

Effective feature extraction in high-dimensional space

Yanwei Pang
, Yuan Yuan
, Xuelong Li

Tianjin University
Aston University
Birkbeck University of London

科研成果: 期刊稿件 › 文章 › 同行评审

43 引用（Scopus）

摘要

This correspondence first kernalizes the region covariance matrix and formalizes the similarity metric using four block matrices. The effectiveness of the proposed methods is proven with experiments on face recognition.

源语言	英语
页（从-至）	1652-1656
页数	5
期刊	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
卷	38
期	6
DOI	https://doi.org/10.1109/TSMCB.2008.927276
出版状态	已出版 - 2008
已对外发布	是

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abstract = "This correspondence first kernalizes the region covariance matrix and formalizes the similarity metric using four block matrices. The effectiveness of the proposed methods is proven with experiments on face recognition.",

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author = "Yanwei Pang and Yuan Yuan and Xuelong Li",

year = "2008",

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language = "英语",

volume = "38",

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KW - Kernalization

KW - Region covariance matrix (RCM)

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DO - 10.1109/TSMCB.2008.927276

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SN - 1083-4419

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JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

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Effective feature extraction in high-dimensional space

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