gmm
所属分类：其他
开发工具：matlab
文件大小：29KB
下载次数：41
上传日期：2009-11-19 15:07:10
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说明： 高斯混合模型的详细实现 内有多个.m文件
(Gaussian mixture model has a number of detailed implementation. M files)
文件列表:
indata\data01.txt (7390, 2008-04-21)
indata\data02.txt (8530, 2008-04-21)
indata\data03.txt (8830, 2008-04-21)
matlab_src\plotall.m (1568, 2008-04-21)
matlab_src\plotGMM.m (2053, 2008-04-21)
matlab_src\readGmmFile.m (276, 2008-04-21)
MSVCproject\MSVCproject.sln (886, 2008-04-21)
MSVCproject\MSVCproject.suo (14336, 2008-04-21)
MSVCproject\MSVCproject.vcproj (4562, 2008-04-21)
src\gmr.cpp (14162, 2008-04-21)
src\gmr.h (3036, 2008-04-21)
src\Macros.cpp (141, 2008-04-21)
src\Macros.h (1231, 2008-04-21)
src\main.cpp (3250, 2008-04-21)
src\MathLib.h (494, 2008-04-21)
src\Matrix.cpp (168, 2008-04-21)
src\Matrix.h (34823, 2008-04-21)
src\Vector.cpp (176, 2008-04-21)
src\Vector.h (11810, 2008-04-21)
Makefile (592, 2008-04-21)
indata (0, 2008-04-29)
matlab_src (0, 2008-04-29)
MSVCproject (0, 2008-04-29)
obj (0, 2008-04-29)
outdata (0, 2008-04-29)
src (0, 2008-04-29)
#####
hahaha Copyright (c) 2008 Florent D'halluin , Sylvain Calinon,
LASA Lab, EPFL, CH-1015 Lausanne, Switzerland,
http://www.calinon.ch, http://lasa.epfl.ch
The program is free for non-commercial academic use.
Please acknowledge the authors in any academic publications that have
made use of this code or part of it. Please use this BibTex reference:
@article{Calinon06SMC,
title="On Learning, Representing and Generalizing a Task in a Humanoid
Robot",
author="S. Calinon and F. Guenter and A. Billard",
journal="IEEE Transactions on Systems, Man and Cybernetics, Part B.
Special issue on robot learning by observation, demonstration and
imitation",
year="2007",
volume="37",
number="2",
pages="286--2***"
}
####################
# GMM regression #
####################
To test the program, just do a 'make', then run the 'main_test' executable,
which performs an EM learning to find the GMM parameters, and then do a
regression on the data stored in data/test*.csv.
The resulting parameters are stored in files *.dat and *.gmm that can then
be plotted in Matlab/Octave using the plotall.m script in the 'matlab_src'
folder.
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