Learning Regularized LDA by Clustering

• Published in: IEEE transaction on neural networks and learning systems Vol. 25; no. 12; pp. 2191 - 2201
• Main Authors: Pang, Yanwei, Wang, Shuang, Yuan, Yuan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Clustering; Computation; Dimensionality reduction; Discriminant analysis; Face; Face recognition; feature extraction; Learning; linear discriminant analysis (LDA); Neural networks; Scatter; Silicon; Training; Vectors; Dimensionality reduction; face recognition; linear discriminant analysis (LDA); feature extraction

As a supervised dimensionality reduction technique, linear discriminant analysis has a serious overfitting problem when the number of training samples per class is small. The main reason is that the between- and within-class scatter matrices computed from the limited number of training samples devia...