LDA/QR: An efficient and effective dimension reduction algorithm and its theoretical foundation

Jieping Ye; Qi Li

doi:10.1016/j.patcog.2003.08.006

LDA/QR: An efficient and effective dimension reduction algorithm and its theoretical foundation

Jieping Ye, Qi Li

Biodesign Institute

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

55 Scopus citations

Abstract

LDA/QR, a linear discriminant analysis (LDA) based dimension reduction algorithm is presented. It achieves the efficiency by introducing a QR decomposition on a small-size matrix, while keeping competitive classification accuracy. Its theoretical foundation is also presented.

Original language	English (US)
Pages (from-to)	851-854
Number of pages	4
Journal	Pattern Recognition
Volume	37
Issue number	4
DOIs	https://doi.org/10.1016/j.patcog.2003.08.006
State	Published - Apr 2004

Keywords

Linear discriminant analysis
Pseudo-inverse
QR-decomposition

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/j.patcog.2003.08.006

Cite this

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title = "LDA/QR: An efficient and effective dimension reduction algorithm and its theoretical foundation",

abstract = "LDA/QR, a linear discriminant analysis (LDA) based dimension reduction algorithm is presented. It achieves the efficiency by introducing a QR decomposition on a small-size matrix, while keeping competitive classification accuracy. Its theoretical foundation is also presented.",

keywords = "Linear discriminant analysis, Pseudo-inverse, QR-decomposition",

author = "Jieping Ye and Qi Li",

year = "2004",

month = apr,

doi = "10.1016/j.patcog.2003.08.006",

language = "English (US)",

volume = "37",

pages = "851--854",

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AU - Ye, Jieping

AU - Li, Qi

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AB - LDA/QR, a linear discriminant analysis (LDA) based dimension reduction algorithm is presented. It achieves the efficiency by introducing a QR decomposition on a small-size matrix, while keeping competitive classification accuracy. Its theoretical foundation is also presented.

KW - Linear discriminant analysis

KW - Pseudo-inverse

KW - QR-decomposition

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M3 - Article

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SP - 851

EP - 854

JO - Pattern Recognition

JF - Pattern Recognition

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ER -

LDA/QR: An efficient and effective dimension reduction algorithm and its theoretical foundation

Abstract

Keywords

ASJC Scopus subject areas

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