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% Linear feature extraction. % % lda - Linear Discriminant Analysis. % pca - Principal Component Analysis. % pcarec - Computes reconstructed vector after PCA projection. % % About: Statistic
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% Linear transformations for feature extraction. % % lda - Linear Discriminant Analysis. % linproj - Linear data projection. % pca - Principal Component Analysis. % % About: Statistica
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% Fisher Linear Discriminat. % % fld - Fisher Linear Discriminat. % fldqp - Fisher Linear Discriminat using quadratic programming. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-
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% Linear classifier based on the Fisher linear discriminat. % % fldqp - Computes Fisher's Linear Discriminat using QP. % lfld - Learns Fisher's Linear Discriminat. % % About: Statistical Patt
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% Probability distribution functions. % % estimation - (dir) Probability distribution estimation. % % erfc2 - Normal cumulative distribution function. % gmmsamp - Generates sample from Gau
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% Probability distribution estimation. % % emgmm - Expectation-Maximization Algorithm for GMM. % melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture. % mlcgmm - Maximal Li
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% Probability distribution estimation. % % emgmm - Expectation-Maximization Algorithm for GMM. % melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture. % mlcgmm - Maximal Li
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% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.01 27-Aug-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
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www.eeworm.com/read/199440/7853191

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% HMMBOX, version 3.3, Iead Rezek, Oxford University, February 2001 % Matlab toolbox for Max. Aposteriori estimation of Hidden Markov Models % % (Adapted from Hidden Markov Toolbox % Version 3.2 01-O
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%Graph Analysis Toolbox %Version 1.0 27-May-2003 % %Generating filters for space-variant graphs. % contour2pdf - Function pdfImg=contour2pdf(img) inputs an RGB contour image with contours %
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