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www.eeworm.com/read/134901/5891521
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% Kernel feature extraction.
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% gda - Generalized Discriminant Analysis.
% greedyappx - Kernel greedy data approximation.
% greedykpca - Greedy kernel PCA.
% kpca - Kernel Principal
www.eeworm.com/read/134901/5891528
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% Image denoising using kernel PCA.
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% make_noisy_data - Adds Gaussian noise to USPS database.
% show_denois_tuning - Plots curves of tuning stage of Kernel PCA.
% show_denoising - Image d
www.eeworm.com/read/134901/5891535
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% Kernel machines.
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% cvkfd - Computes cross validation error for given KFD model.
% diagker - Returns diagonal of kernel matrix of given data.
% dualcov - Dual representation of cova
www.eeworm.com/read/134901/5891542
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% Demo on Optical Character Recognition (OCR) for handwritten numerals.
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% models (dir) - Different SVM models trained for OCR system.
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% collect_chars - Collecting training examples for OCR.
% mpa
www.eeworm.com/read/134901/5891547
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% Separation of finite sets of vectors
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% ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane.
% mperceptron - Perceptron algorithm to train linear machine.
% perceptron - Perc
www.eeworm.com/read/134901/5891552
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% Algorithms learning linear classifiers from finite vector sets.
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% ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane.
% ekozinec2 - Kozinec's algorithm for eps-optimal separ
www.eeworm.com/read/134901/5891555
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% Generalized Anderson's task.
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% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% eanders - Epsilon-solutio
www.eeworm.com/read/134901/5891558
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% Algorithms to solve the Generalized Anderson's task.
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% andrerr - Classification error of the Generalized Anderson's task.
% androrig - Original method to solve the Anderson's task.
% ean
www.eeworm.com/read/134901/5891563
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% Linear feature extraction.
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% lda - Linear Discriminant Analysis.
% pca - Principal Component Analysis.
% pcarec - Computes reconstructed vector after PCA projection.
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% About: Statistic
www.eeworm.com/read/134901/5891565
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% Linear transformations for feature extraction.
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% lda - Linear Discriminant Analysis.
% linproj - Linear data projection.
% pca - Principal Component Analysis.
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% About: Statistica