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

^*Corresponding author for this work

Computer Science Research Group

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1652-1656
Number of pages	5
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	38
Issue number	6
DOIs	https://doi.org/10.1109/TSMCB.2008.927276
Publication status	Published - 18 Sept 2008

Keywords

Kernalization
Region covariance matrix (RCM)

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10.1109/TSMCB.2008.927276

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title = "Effective feature extraction in high-dimensional space",

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.",

keywords = "Kernalization, Region covariance matrix (RCM)",

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

year = "2008",

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doi = "10.1109/TSMCB.2008.927276",

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T1 - Effective feature extraction in high-dimensional space

AU - Pang, Yanwei

AU - Yuan, Yuan

AU - Li, Xuelong

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KW - Kernalization

KW - Region covariance matrix (RCM)

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DO - 10.1109/TSMCB.2008.927276

M3 - Article

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AN - SCOPUS:57049188382

SN - 1083-4419

VL - 38

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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

IS - 6

ER -

Effective feature extraction in high-dimensional space

Abstract

Keywords

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