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找到约 3,225 项符合 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