Algebraic feature extraction of image for recognition
Pattern Recognition
Optimal Fisher discriminant analysis using the rank decomposition
Pattern Recognition
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning a Mahalanobis distance metric for data clustering and classification
Pattern Recognition
Mechanic signal analysis based on the Haar-type orthogonal matrix
Expert Systems with Applications: An International Journal
Neighborhood MinMax projections
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IEEE Transactions on Neural Networks
Kernel Generalized Foley-Sammon Transform with Cluster-Weighted
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Uncorrelated trace ratio linear discriminant analysis for undersampled problems
Pattern Recognition Letters
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
SIAM Journal on Matrix Analysis and Applications
Expert Systems with Applications: An International Journal
Graph optimization for dimensionality reduction with sparsity constraints
Pattern Recognition
Fast Kernel Discriminant Analysis for Classification of Liver Cancer Mass Spectra
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
The Trace Ratio Optimization Problem for Dimensionality Reduction
SIAM Journal on Matrix Analysis and Applications
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace
Statistics and Computing
Generalized foley-sammon transform with kernels
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Robust linearly optimized discriminant analysis
Neurocomputing
Football video segmentation based on video production strategy
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Incremental complete LDA for face recognition
Pattern Recognition
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As the generalization of Fisher discriminant criterion, in this paper, the conception of the generalized Fisher discriminant criterion is presented. On the basis of the generalized Fisher discriminant criterion, the generalized Foley-Sammon transform (GFST) is proposed. The main difference between the GFST and the Foley-Sammon transform (FST) is that the sample set has the minimum within-class scatter and the maximum between-class scatter in the subspace spanned by all discriminant vectors constituting GFST while the sample set has these properties only on the one-dimensional subspace spanned by each discriminant vector constituting FST, that is, the transformed sample set by GFST has the best discriminant ability in global sense while FST has this property only in part sense. To calculate the GFST, an iterative algorithm is proposed, which is proven to Converge to the precise solution. The speed and errors of the iterative procedure are also analyzed in detail. Lastly, our method is applied to facial image recognition, and the experimental results show that present method is superior to the existing methods in terms of correct classification rate.