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% Miscellaneous functions for STPRtoolbox.
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% adaboost - AdaBoost algorithm.
% adaclass - AdaBoost classifier.
% cerror - Computes classification error.
% crossval - Partions data
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% Kernel machines.
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% extraction - (dir) Kernel feature extraction.
% preimage - (dir) Pre-image problem for RBF kernel.
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% diagker - Returns diagonal of kernel matrix.
% dualcov - Dual
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% Pre-image problem for RBF kernel.
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% rbfpreimg - Schoelkopf's fixed-point algorithm.
% rbfpreimg2 - Gradient optimization.
% rbfpreimg3 - Kwok-Tsang's algorithm.
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% About: Statistical Pattern
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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
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% Kernel machines.
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% extraction - (dir) Kernel feature extraction.
% preimage - (dir) Pre-image problem for RBF kernel.
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% diagker - Returns diagonal of kernel matrix.
% dualcov - Dual
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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
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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
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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
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% Demos of the Statistical Pattern Recognition Toolbox.
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% image_denoising - (dir) Image denoising using kernel PCA.
% ocr - (dir) Object Character Recognition.
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% demo_anderson - G
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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