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
Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
Bayesian modeling of facial similarity
Proceedings of the 1998 conference on Advances in neural information processing systems II
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning a Similarity Metric Discriminatively, with Application to Face Verification
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Classification of bio-data with small data set using additive factor model and SVM
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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Subspace methods have been used widely for reduction capacity of memory or complexity of system and increasing classification performances in pattern recognition and signal processing. We propose a new subspace method based on a data generation model with intra-class factor and extra-class factor. The extra-class factor is associated with the distribution of classes and is important for discriminating classes. The intra-class factor is associated with the distribution within a class, and is required to be diminished for obtaining high class-separability. In the proposed method, we first estimate the intra-class factors and reduce them from the original data. We then extract the extra-class factors by PCA. For verification of proposed method, we conducted computational experiments on real facial data, and show that it gives better performance than conventional methods.