stprtool
所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:3995KB
下载次数:23
上传日期:2009-02-13 00:24:54
上 传 者:
dodo2019
说明: 统计模式识别工具包(统计模式识别工具包,包含EM,SVM等方法。)
(Statistical Pattern Recognition Kit (statistical pattern recognition tool kit, including EM, SVM and other methods.))
文件列表:
stprtool\bayes\bayescls.m (2908, 2004-06-22)
stprtool\bayes\bayesdf.m (2456, 2004-06-15)
stprtool\bayes\bayeserr.m (4998, 2004-06-22)
stprtool\bayes\Contents.m (587, 2004-06-15)
stprtool\bayes (0, 2008-11-27)
stprtool\compilemex.m (3248, 2004-11-29)
stprtool\Contents.m (7826, 2004-12-22)
stprtool\data\anderson_task\mars.mat (600, 2004-05-04)
stprtool\data\anderson_task\venus.mat (400, 2004-05-04)
stprtool\data\anderson_task (0, 2008-11-27)
stprtool\data\binary_separable\tulip.mat (1944, 2004-05-03)
stprtool\data\binary_separable (0, 2008-11-27)
stprtool\data\c2s.m (770, 2004-06-09)
stprtool\data\check2ddata.m (1177, 2004-06-15)
stprtool\data\check2dgauss.m (1408, 2004-06-15)
stprtool\data\Contents.m (1548, 2004-06-15)
stprtool\data\createdata.m (29080, 2004-06-15)
stprtool\data\gencircledata.m (1409, 2004-06-15)
stprtool\data\genlsdata.m (2120, 2004-06-22)
stprtool\data\gmm_samples\krkonose.mat (5824, 2004-05-01)
stprtool\data\gmm_samples (0, 2008-11-27)
stprtool\data\iris_data\iris.mat (5280, 2003-10-10)
stprtool\data\iris_data\iris_setosa.jpg (14880, 2003-10-10)
stprtool\data\iris_data\iris_versicolor.jpg (16516, 2003-10-10)
stprtool\data\iris_data\iris_virginica.jpg (15555, 2003-10-10)
stprtool\data\iris_data (0, 2008-11-27)
stprtool\data\lena.jpg (162986, 2004-05-06)
stprtool\data\mergesets.m (1994, 2004-06-15)
stprtool\data\mm_samples\orion.mat (464, 2004-05-02)
stprtool\data\mm_samples\scales.mat (496, 2004-06-15)
stprtool\data\mm_samples (0, 2008-11-27)
stprtool\data\multi_separable\pentagon.mat (1928, 2004-05-18)
stprtool\data\multi_separable (0, 2008-11-27)
stprtool\data\ocr_numerals\daniel_martinec1.mat (13048, 2003-10-10)
stprtool\data\ocr_numerals\daniel_martinec10.mat (13048, 2003-10-10)
stprtool\data\ocr_numerals\daniel_martinec2.mat (13048, 2003-10-10)
stprtool\data\ocr_numerals\daniel_martinec3.mat (13048, 2003-10-10)
stprtool\data\ocr_numerals\daniel_martinec4.mat (13048, 2003-10-10)
stprtool\data\ocr_numerals\daniel_martinec5.mat (13048, 2003-10-10)
stprtool\data\ocr_numerals\daniel_martinec6.mat (13048, 2003-10-10)
... ...
==================================================================
Statistical Pattern Recognition Toolbox for Matlab
(C) 1999-2004, Version 2.04, 14-Dec-2004,
Written by Vojtech Franc, Vaclav Hlavac,
{xfrancv,hlavac}@cmp.felk.cvut.cz
Czech Technical University Prague (http://www.cvut.cz)
Faculty of Electrical Engineering (http://www.feld.cvut.cz)
Center for Machine Perception (http://cmp.felk.cvut.cz)
==================================================================
0. Contents
===========
0. Contents
1. Introduction
2. Requirements
3. Installation
4. How to start ?
1. Introduction
================
This toolbox implements a selection of statistical pattern recognition
methods described in the monograph Schlesinger M.I., Hlavac V.: Ten
lectures on statistical and structural pattern recognition, Kluwer
Academic Publishers, 2002. The basic idea of the toolbox was sketched
by M.I. Schlesinger and V. Hlavac in June 1999. The design of the toolbox
and implementation is by V. Franc who did it as his master thesis at the
Czech Technical University Praha, Czech Republic (defended February 2000).
The toolbox is still being developed and new implemented methods (e.g.,
SVM and other Kernel machines) go beyond the contents of the monograph.
This software can be used freely for academic, non-profit purposes.
If you intend to use it for commercial development, please, contact us.
2. Requirements
================
- Matlab, version 5.3 and higher.
- Several algorithms require the Optimization Toolbox and Images toolbox
by MathWorks. However, most algorithms work with a plain Matlab.
3. Installation
================
- Create a directory of your choice and copy the toolbox there.
- The path to toolbox directories has to be set before using
the toolbox. This can be done by running
stprpath
in the toolbox root. You can add the 'stprpath' command to
your 'startup.m' file.
- The toolbox contains several algorithms implemented in C language
which must be compiled by the MEX compiler. This algorithms have
already been compiled for Windows Matlab 5.3 and Linux Matlab 6.
If necessary compile all C functions by running
compilemex
from the toolbox root.
4. How to start ?
==================
To get started, type 'help stprtool' or 'help stprtool/demos'
then you can run one of the listed demo programs.
An user's guide can be found in 'doc/stprtool.pdf'.
To see HTML documentation open 'doc/manual/index.html' (in the toolbox
root) in your Internet browser.
If you have any comments or suggestions then, please, send me
an email at xfrancv@cmp.felk.cvut.cz .
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