Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion

Pattern Recognition

Volumn 38, Issue 4, 2005, Pages 613-616

  Qin, A K ^a   Suganthan, P N ^a   Loog, M ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b IT UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Heteroscedastic; Uncorrelated linear discriminant analysis; Weighted pairwise chernoff criterion

Indexed keywords

COMPUTATIONAL METHODS; EIGENVALUES AND EIGENFUNCTIONS; MATRIX ALGEBRA; PROBABILITY; VECTORS;

COVARIANCE MATRIX; HETEROSCEDASTIC LINEAR DISCRIMINANT ANALYSIS; UNCORRELATED LINEAR DISCRIMINANT ANALYSIS; WEIGHTED PAIRWISE CHERNOFF CRITERION;

FEATURE EXTRACTION;

EID: 10644221106     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2004.09.007     Document Type: Article

References (5)

1. M. Loog, R.P.W. Duin, Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion, IEEE Trans. Pattern Analysis and Machine Intelligence 26 (6) (2004) 732-739.
2. Z. Jin, J.Y. Yang, Z.S. Hu, Z. Lou, Face recognition based on the uncorrelated discriminant transformation, Pattern Recognition 34 (7) (2001) 1405-1416.
3. Z. Jin, J.Y. Yang, Z.M. Tang, Z.S. Hu, A theorem on the uncorrelated optimal discriminant vectors, Pattern Recognition 34 (10) (2001) 2041-2047.
4. J. Yang, J.Y. Yang, D. Zhang, What's wrong with Fisher criterion?, Pattern Recognition 35 (11) (2002) 2665-2668.
5. C.E. Thomaz, D.F. Gillies, R.Q. Feitosa, A new covariance estimate for Bayesian classifiers in biometric recognition, IEEE Trans. Circuits and Systems for Video Technology, (special Issue on Image- and Video-Based Biometrics) 14 (2) (2004) 214-223.