Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Low Rank Approximations of Matrices
Machine Learning
Journal of Cognitive Neuroscience
Stepwise nearest neighbor discriminant analysis
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Just-in-time adaptive similarity component analysis in nonstationary environments
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Recently, some feature extraction methods have been developed by representing images with matrix directly, however few of them are proposed to improve accuracy of classification directly. In this paper, a novel feature extraction method, two-dimensional nearest neighbor discriminant analysis (2DNNDA), is proposed from the view of the nearest neighbor classification, which makes use of the matrix representation of images. We apply 2DNNDA to face recognition and the results demonstrate that 2DNNDA outperforms the conventional methods.