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function c=marker_color2(i) % MARKER_COLOR Returns marker color. % % Synopsis: % c=marker_color(i) % % See also MARKER_TYPE % % About: Statistical Pattern Recognition Toolbox % (C) 1999-20

function m=marker_type2(i) % MARKER_TYPE Returns marker type. % % Synopsis: % m=marker_type(i) % % See also MARKER_COLOR. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-200

% FACE RECOGNITION BASED ON HIERARCHICAL DIMENSIONALITY REDUCTION % % % Copy all files in Matlab current directory and type "hdrface" on % Matlab command window. % % First, select an input image

% % FACE RECOGNITION BASED ON HIERARCHICAL DIMENSIONALITY REDUCTION % % In order to obtain the complete source code for FACE RECOGNITION BASED ON HIERARCHICAL DIMENSIONALITY REDUCTION % please v

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

'Eigenface' Face Recognition System Written by: Amir Hossein Omidvarnia Email: aomidvar@ece.ut.ac.ir This package implements a well-known PCA-based face recognition method, which is

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

[Desktop Entry] Version=1.0 Name=CellWriter GenericName=Handwriting input panel Comment=Grid-entry handwriting recognition input panel Exec=cellwriter Icon=cellwriter StartupNotify=true Terminal=false

% % Speech Recognition Based on DTW % % In order to obtain the complete source code for Speech Recognition % based on DTW please visit my website % % http://www.advancedsourcecode.com/dtwspe

From: Subject: Neural Networks for Face Recognition Date: Tue, 29 Jan 2008 22:40:00 +0800 MIME-Version: 1.0 Content-Type: text/html; charset="gb2312" Content-