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% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) Czech Technical University Prague, http://cmp.felk.cvut.cz % Written Vojtech Franc (diploma thesis) 26.02.2000 % Modifi

function []=setpath(toolboxroot) % []=setpath(toolboxroot) % % SETPATH adds path of the Statistical Pattern Recognition Toolbox. % The function argument determines where the root directory %

@article{phillips1997the, author = "P. J. Phillips and H. Moon, P. Rauss and S. A. Rizvi", title = "The feret evaluation methodology for face-recognition algorithms", journal = "CVPR", pages = "137--1

From: Subject: dsPIC30F Speech Recognition Library Date: Tue, 30 Jan 2007 15:00:44 +0800 MIME-Version: 1.0 Content-Type: multipart/related; type="multipart/a

function OutputName = Recognition(TestImage, m, A, Eigenfaces) % Recognizing step.... % % Description: This function compares two faces by projecting the images into facespace and % measuring the

% A sample script, which shows the usage of functions, included in % PCA-based face recognition system (Eigenface method) % % See also: CREATEDATABASE, EIGENFACECORE, RECOGNITION clear all clc

% A sample script, which shows the usage of functions, included in % PCA-based face recognition system (Eigenface method) % % See also: CREATEDATABASE, EIGENFACECORE, RECOGNITION clear all clc

/*! \mainpage Optical Character Recognition Example * * \ref Intro_sec * \n\ref Arch_sec * \n\ref Design_sec * * * * \section Intro_sec 1. About this Example * * This example

Face Recognition Library ======================== Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for

%{ /* * We expand upon the first example by adding recognition of some other * parts of speech. */ %} %% [\t ]+ /* ignore white space */ ; is | am | are | were | was | be | being | been | do |