Feature extraction based on Laplacian bidirectional maximum margin criterion
Pattern Recognition
Curvelet based face recognition via dimension reduction
Signal Processing
Model-based subspace clustering of non-Gaussian data
Neurocomputing
Feature selection for high-dimensional imbalanced data
Neurocomputing
Face recognition using Weber local descriptors
Neurocomputing
Hybrid structure for robust dimensionality reduction
Neurocomputing
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This correspondence first kernalizes the region covariance matrix and formalizes the similarity metric using four block matrices. The effectiveness of the proposed methods is proven with experiments on face recognition.