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Recognition 的代码
rrm.hmm
HMMER2.0 [2.2g]
NAME rrm
ACC PF00076
DESC RNA recognition motif. (a.k.a. RRM, RBD, or RNP domain)
LENG 77
ALPH Amino
RF no
CS yes
MAP yes
COM ../src/hmmbuild -F rrm.hmm rrm.sto
COM
hre.h
/*
* hre.h: API for Handwriting Recognition Engine on Unix
* Author: James Kempf
* Created On: Wed Oct 28 11:30:43 1992
* Last Modified By: James Kempf
* Last Mod
scribwidget.c
/*
* Copyright (c) 2000 Greg Haerr
* Copyright (c) 2000 Century Software
* Scribble Handwriting Recognition for Nano-X!
* Scribble object routines
nxscribble.c
/*
* Copyright (c) 2000 Greg Haerr
* Copyright (c) 2000 Century Software
*
* Scribble Handwriting Recognition for Nano-X!
*/
#include
#
hre_api.h
/*
* hre_api.h: User-Level API for Handwriting Recognition
* Author: James Kempf
* Created On: Mon Nov 2 14:01:25 1992
* Last Modified By: James Kempf
* Last Modifie
pr_loqo.h
/*
* File: pr_loqo.h
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
pr_loqo.c
/*
* File: pr_loqo.c
* Purpose: solves quadratic programming problem for pattern recognition
* for support vectors
*
* Author: Alex J. Smola
* Created: 10/14/97
sparsecorrelationstest2.m.svn-base
%Test the distribution of sparse correlations for sparse KCCA
clear all;
dataSet = 'letter-recognition.data';
[X, y, numExamples, numFeatures] = readCsvData(dataSet);
%convert to indicator
sparsecorrelationstest2.m
%Test the distribution of sparse correlations for sparse KCCA
clear all;
dataSet = 'letter-recognition.data';
[X, y, numExamples, numFeatures] = readCsvData(dataSet);
%convert to indicator
usps.c
/*Fisher.C
*recognition of handwritten numerals with Fishier Linear Classifier
*/
/*
*说明：一个数字16X16像素，每个像素是灰度值，
*归一化为-1到1的双精度浮点数
*
*struct Sample
*{
* double data[RAWDATADIM]; //一个点的数据为8 byte