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Recognition 的代码
kpcademo1.m~
echo on;
% KPCADEMO1 demo on the Kernel-PCA.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modificati
pcademo1.m
% PCADEMO1 demo on use of standard PCA.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modifications:
%
kpcademo1.m
echo on;
% KPCADEMO1 demo on the Kernel-PCA.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modificati
0.m
%lans-patrec - Pattern recognition routines
% (C) 2000.06.28 Kui-yu Chang
% http://lans.ece.utexas.edu/~kuiyu
% This program is free software; you can redistribute it and/or modify
% it under the te
todo
- make argv[0]-recognition of X/YModem work with program_name_transform.
- look into VMIN code: how to determine if it's usable (it isn't unter
FreeBSD and NetBSD (might have changed) and possibly m
shapedefinition.mmp
/**
*
* @brief Project specification file for Shape Resolver dll
*
* Copyright (c) EMCC Software Ltd 2003
* @version 1.0
*/
TARGET 101FDA5E.dll
TARGETTYPE ECOMIIC
// ECom Dll recognition U
todo.lrzsz
- make argv[0]-recognition of X/YModem work with program_name_transform.
- look into VMIN code: how to determine if it's usable (it isn't unter
FreeBSD and NetBSD (might have changed) and possibly m
todo
- make argv[0]-recognition of X/YModem work with program_name_transform.
- look into VMIN code: how to determine if it's usable (it isn't unter
FreeBSD and NetBSD (might have changed) and possibly m
todo.lrzsz
- make argv[0]-recognition of X/YModem work with program_name_transform.
- look into VMIN code: how to determine if it's usable (it isn't unter
FreeBSD and NetBSD (might have changed) and possibly m
svmlspex01.m
%SVMLSPex01.m
%
%Two Dimension Linear-SVM Problem, Two Class and Separable Situation
%
%Method from Christopher J. C. Burges:
%"A Tutorial on Support Vector Machines for Pattern Recognition", pag