Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Based on Nearest Linear Combinations
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Hidden space principal component analysis
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Wavelet support vector machine
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Face recognition using the nearest feature line method
IEEE Transactions on Neural Networks
Hidden space support vector machines
IEEE Transactions on Neural Networks
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As an effective nonparametric classifier, nearest subspace (NS) classifier exhibits its good performance on high-dimensionality data. However, NS could not well classify the data with the same direction distribution. To deal with this problem, this paper proposes a nonlinear extension of NS, or nonlinear nearest subspace classifier. Firstly, the data in the original sample space are mapped into a kernel empirical mapping space by using a kernel empirical mapping function. In this kernel empirical mapping space, NS is then performed on these mapped data. Experimental results on the toy and face data show this nonlinear nearest subspace classifier is a promising nonparametric classifier.