gmm-gmr
所属分类：人工智能/神经网络/深度学习
开发工具：MultiPlatform
文件大小：32KB
下载次数：546
上传日期：2008-06-23 23:01:05
上 传 者：
ahshang
说明： 这是一款用C++编写的实现gmm算法的程序，有样例程序，实现了EM算法来寻找GMM参数。
(This is a used C++ Prepared gmm algorithm to achieve the procedure, there are sample procedures, the realization of the EM algorithm to find GMM parameters.)
文件列表:
gmm-gmr (0, 2008-04-29)
gmm-gmr\indata (0, 2008-04-29)
gmm-gmr\indata\data01.txt (7390, 2008-04-21)
gmm-gmr\indata\data02.txt (8530, 2008-04-21)
gmm-gmr\indata\data03.txt (8830, 2008-04-21)
gmm-gmr\Makefile (592, 2008-04-21)
gmm-gmr\matlab_src (0, 2008-04-29)
gmm-gmr\matlab_src\plotall.m (1568, 2008-04-21)
gmm-gmr\matlab_src\plotGMM.m (2053, 2008-04-21)
gmm-gmr\matlab_src\readGmmFile.m (276, 2008-04-21)
gmm-gmr\MSVCproject (0, 2008-04-29)
gmm-gmr\MSVCproject\MSVCproject.sln (886, 2008-04-21)
gmm-gmr\MSVCproject\MSVCproject.suo (14336, 2008-04-21)
gmm-gmr\MSVCproject\MSVCproject.vcproj (4562, 2008-04-21)
gmm-gmr\obj (0, 2008-04-29)
gmm-gmr\outdata (0, 2008-04-29)
gmm-gmr\src (0, 2008-04-29)
gmm-gmr\src\gmr.cpp (14162, 2008-04-21)
gmm-gmr\src\gmr.h (3036, 2008-04-21)
gmm-gmr\src\Macros.cpp (141, 2008-04-21)
gmm-gmr\src\Macros.h (1231, 2008-04-21)
gmm-gmr\src\main.cpp (3250, 2008-04-21)
gmm-gmr\src\MathLib.h (494, 2008-04-21)
gmm-gmr\src\Matrix.cpp (168, 2008-04-21)
gmm-gmr\src\Matrix.h (34823, 2008-04-21)
gmm-gmr\src\Vector.cpp (176, 2008-04-21)
gmm-gmr\src\Vector.h (11810, 2008-04-21)
#####
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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