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

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

43 Scopus citations

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
State	Published - 2008
Externally published	Yes

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",

doi = "10.1109/TSMCB.2008.927276",

language = "英语",

volume = "38",

pages = "1652--1656",

journal = "IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics",

issn = "1083-4419",

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T1 - Effective feature extraction in high-dimensional space

AU - Pang, Yanwei

AU - Yuan, Yuan

AU - Li, Xuelong

PY - 2008

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KW - Kernalization

KW - Region covariance matrix (RCM)

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U2 - 10.1109/TSMCB.2008.927276

DO - 10.1109/TSMCB.2008.927276

M3 - 文章

C2 - 19022735

AN - SCOPUS:57049188382

SN - 1083-4419

VL - 38

SP - 1652

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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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