Empirical performance analysis of linear discriminant classifiers

• Published in: Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231) pp. 164 - 169
• Main Authors: Zhao, W., Chellappa, R., Nandhakumar, N.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1998
• Subjects: Automation; Bayesian methods; Degradation; Density functional theory; Educational institutions; Face recognition; Linear discriminant analysis; Pattern recognition; Performance analysis; Principal component analysis

In face recognition literature, holistic template matching systems and geometrical local feature based systems have been pursued. In the holistic approach, PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) are popular ones. More recently, the combination of PCA and LDA has be...