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 with one training image per person
Pattern Recognition Letters
On the use of nearest feature line for speaker identification
Pattern Recognition Letters
Enhanced (PC)2 A for face recognition with one training image per person
Pattern Recognition Letters
Computational Biology and Chemistry
Neighborhood Discriminant Nearest Feature Line Analysis for Face Recognition
IBICA '11 Proceedings of the 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications
The discrete fractional cosine and sine transforms
IEEE Transactions on Signal Processing
Face recognition using the nearest feature line method
IEEE Transactions on Neural Networks
Efficient and robust feature extraction by maximum margin criterion
IEEE Transactions on Neural Networks
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A novel subspace learning algorithm based on nearest feature line in time-frequency domain is proposed in this paper. The proposed algorithm combines neighborhood discriminant nearest feature line analysis and fractional cosine transform to extract the local discriminant features of the samples. A new discriminant power criterion based on nearest feature line is also presented in this paper. Some experiments are implemented to evaluate the proposed algorithm and the experimental results demonstrate the efficiency of the proposed algorithm.