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找到约 3,225 项符合 Recognition 的代码

readme.m

% PRTools3.0 December 1999 % % PRTOOLS is a basic set of statistical pattern recognition % tools under Matlab. Not all commands are entirely tested. % % It is heavily upgraded from the previous versi

contents.m

% Fisher Linear Discriminat. % % fld - Fisher Linear Discriminat. % fldqp - Fisher Linear Discriminat using quadratic programming. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-

contents.m

% Fisher Linear Discriminat. % % fld - Fisher Linear Discriminat. % fldqp - Fisher Linear Discriminat using quadratic programming. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-

contents.m

% Fisher Linear Discriminat. % % fld - Fisher Linear Discriminat. % fldqp - Fisher Linear Discriminat using quadratic programming. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-

dataid.m

function [id]=dataid(type) % [id]=dataid(type) % % DATAID returns string identifier of the given data % type. % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) C

dataid.m

function [id]=dataid(type) % [id]=dataid(type) % % DATAID returns string identifier of the given data % type. % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) C

readme.m

% PRTools3.0 December 1999 % % PRTOOLS is a basic set of statistical pattern recognition % tools under Matlab. Not all commands are entirely tested. % % It is heavily upgraded from the previous versi

contents.m

% This toolbox was edited by Eng.\ Alaa Tharwat Othman % This toolbox is designed to use into pattern recognition systems (specially for images) % This code is edited by Eng. Alaa Tharwat Abd El. Mo

readme.txt

% This toolbox was edited by Eng.\ Alaa Tharwat Othman % This toolbox is designed to use into pattern recognition systems (specially for images) % This code is edited by Eng. Alaa Tharwat Abd El. Mo

patrec1.m

% generate some simple pattern recognition example data % Copyright 1999 by Todd K. Moon nclass = 5; ndata = 300; dim = 2; %$$$ means = []; %$$$ R = []; %$$$ C = []; %$$$ for n=1:nclass