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Wavelet based discriminant analysis for face recognition
Dao Qing Dai
*
,
P. C. Yuen
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
29
Citations (Scopus)
Overview
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Dive into the research topics of 'Wavelet based discriminant analysis for face recognition'. Together they form a unique fingerprint.
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Keyphrases
Face Recognition
100%
Discriminant Analysis
100%
Small Sample Size Problem
100%
Wavelet Basis
100%
Fisher Index
100%
Face Recognition System
50%
Wavelet Transform
50%
Pattern Recognition
50%
Dimensionality Reduction
50%
Popular
50%
Statistical Methods
50%
Indexing Methods
50%
Pattern Classification
50%
Fisher Discriminant Analysis
50%
Problem Recognition
50%
Regularized Scheme
50%
Tikhonov Regularization Method
50%
Computer Science
Face Recognition
100%
Discriminant Analysis
100%
small sample size problem
66%
Recognition System
33%
Wavelet Transform
33%
Pattern Recognition
33%
Recognition Problem
33%
Pattern Classification
33%
Regularization Method
33%
Tikhonov Regularization
33%
Mathematics
Discriminant Analysis
100%
Wavelet
100%
Regularization
50%
Pattern Recognition
50%
Wavelet Transform
50%
Statistical Method
50%
Physics
Wavelet
100%
Wavelet Analysis
100%
Pattern Recognition
100%
Economics, Econometrics and Finance
Discriminant Analysis
100%
Statistical Method
50%