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Recognition 的代码
contents.m
% Demo on Optical Character Recognition (OCR) for handwritten numerals.
%
% models (dir) - Different SVM models trained for OCR system.
%
% collect_chars - Collecting training examples for OCR.
% mpa
tmexampledmadapter_s60_3rd_ed.mmp
// TmExampleDmAdapter.mmp
//
// Copyright (c) 2006 Forum Nokia. All rights reserved.
//
TARGET TmExampleDmAdapter.dll
TARGETTYPE PLUGIN
// ECom Dll recognition UID followed by the unique UI
tmexampledmadapter.mmp
// TmExampleDmAdapter.mmp
//
// Copyright (c) 2005 Forum Nokia. All rights reserved.
//
TARGET TmExampleDmAdapter.dll
TARGETTYPE ECOMIIC
// ECom Dll recognition UID followed by the unique U
speakerhelp.m
%
% SPEAKER RECOGNITION SYSTEM
%
% In order to obtain the complete source code please visit
%
% http://www.advancedsourcecode.com/speaker.asp
%
% A small donation (just 26 Euros, less than 36
runfacerecog_vv.m
% RunFaceRecog.m
% Main function that reads in files, applies pre-processing, calls face
% recognition algorithm, and then plots resulting accuracy.
%
% Assumptions:
% - you have a set of pre-p
bayesdemo1.m
% BAYESDEMO1 demo how to display discriminat function for Bayes classifier.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cm
prprob1.m
function [alphabet,targets] = prprob()
%PRPROB Character recognition problem definition
%
% [ALHABET,TARGETS] = PRPROB()
% Returns:
% ALPHABET - 35x26 matrix of 5x7 bit maps for each lette
main.cpp
/*********************************************************
// 模糊C均值聚类算法
// Coded by zhchshen
// Date: 2008-08-19 23:42
// zhchshen@yahoo.com.cn
// Bezdek J C. Pattern Recognition with Fuzzy
main.cpp
/*********************************************************
// 模糊C均值聚类算法
// Coded by zhchshen
// Date: 2008-08-19 23:42
// zhchshen@yahoo.com.cn
// Bezdek J C. Pattern Recognition with Fuzzy
show_denois_tuning.m
% SHOW_DENOIS_TUNING Plots curves of tuning stage of Kernel PCA
% and liner PCA trained for denosing of UPSP handwritten numerals.
%
% About: Statistical Pattern Recognition Toolbox
% (C) 1999-2003