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Recognition 的代码
scribwidget.c
/*
* Copyright (c) 2000 Greg Haerr
* Copyright (c) 2000 Century Software
* Scribble Handwriting Recognition for Nano-X!
* Scribble object routines
examplere.m
%nn1R, Recognition of BP network
%===============
%训练好的BP网络识别加了噪声的测试样本
%===============
clc;
[length,width]=size(b1);
b=double(b1);
q=reshape(b,length*width,1); %改32*32的矩阵为1024*1的矩阵
Recog
example35re.m
%nn1R, Recognition of BP network
%===============
%例3.5 训练好的BP网络识别加了噪声的测试样本
%===============
clc;
[length,width]=size(b1);
b=double(b1);
q=reshape(b,length*width,1); %改32*32的矩阵为1024*1的矩阵
ch1-02.l
%{
/*
* this sample demonstrates (very) simple recognition:
* a verb/not a verb.
*/
%}
%%
[\t ]+ /* ignore white space */ ;
is |
am |
are |
were |
was |
be |
being |
been |
do |
does |
did |
wi
ch1-02.l
%{
/*
* this sample demonstrates (very) simple recognition:
* a verb/not a verb.
*/
%}
%%
[\t ]+ /* ignore white space */ ;
is |
am |
are |
were |
was |
be |
being |
been |
do |
does |
did |
wi
sourcecode.m
%
% 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
readme.txt
'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
新建 文本文档 (2).txt
function r = mfcc1(s, fs)
% MFCC
%
% Inputs: s contains the signal to analize
% fs is the sampling rate of the signal
%
% Output: r contains the transformed signal
%
%
%%%%%
cellwriter.desktop
[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.properties
#######################################
# DANY Speech Properties File #
# DO NOT EDIT!!! #
#######################################
com.jpeterson.microsoft.EngineCentra