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    文件類型: .zip
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    發布日期: 2021-06-09
  • 語言: Matlab
  • 標簽: GMM??

資源簡介

高斯混合模型是一種經典的背景建模模型,已成功運用于工程應用中。在聲音相關的領域,也有廣泛的應用。

資源截圖

代碼片段和文件信息

function?demo1
%
%?Demo?of?Gaussian?Mixture?Regression?(GMR).?
%?This?source?code?is?the?implementation?of?the?algorithms?described?in?
%?Section?2.4?p.38?of?the?book?“Robot?Programming?by?Demonstration:?A?
%?Probabilistic?Approach“.?
%
%?Author: Sylvain?Calinon?2009
% http://programming-by-demonstration.org
%
%?The?program?loads?a?3D?dataset?trains?a?Gaussian?Mixture?Model?
%?(GMM)?and?retrieves?a?generalized?version?of?the?dataset?with?associated?
%?constraints?through?Gaussian?Mixture?Regression?(GMR).?Each?datapoint?
%?has?3?dimensions?consisting?of?1?temporal?value?and?2?spatial?values?
%?(e.g.?drawing?on?a?2D?Cartesian?plane).?A?sequence?of?temporal?values?is?
%?used?as?query?points?to?retrieve?a?sequence?of?expected?spatial?
%?distributiuon?through?Gaussian?Mixture?Regression?(GMR).
%
%?This?source?code?is?given?for?free!?However?I?would?be?grateful?if?you?refer?
%?to?the?book?(or?corresponding?article)?in?any?academic?publication?that?uses?
%?this?code?or?part?of?it.?Here?are?the?corresponding?BibTex?references:?
%
%?@book{Calinon09book
%???author=“S.?Calinon“
%???title=“Robot?Programming?by?Demonstration:?A?Probabilistic?Approach“
%???publisher=“EPFL/CRC?Press“
%???year=“2009“
%???note=“EPFL?Press?ISBN?978-2-940222-31-5?CRC?Press?ISBN?978-1-4398-0867-2“
%?}
%
%?@article{Calinon07
%???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“
%???year=“2007“
%???volume=“37“
%???number=“2“
%???pages=“286--298“
%?}

%%?Definition?of?the?number?of?components?used?in?GMM.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
nbStates?=?4;

%%?Load?a?dataset?consisting?of?3?demonstrations?of?a?2D?signal.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
load(‘data/data1.mat‘);?%load?‘Data‘
nbVar?=?size(Data1);

%%?Training?of?GMM?by?EM?algorithm?initialized?by?k-means?clustering.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[Priors?Mu?Sigma]?=?EM_init_kmeans(Data?nbStates);
[Priors?Mu?Sigma]?=?EM(Data?Priors?Mu?Sigma);

%%?Use?of?GMR?to?retrieve?a?generalized?version?of?the?data?and?associated
%%?constraints.?A?sequence?of?temporal?values?is?used?as?input?and?the?
%%?expected?distribution?is?retrieved.?
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
expData(1:)?=?linspace(min(Data(1:))?max(Data(1:))?100);
[expData(2:nbVar:)?expSigma]?=?GMR(Priors?Mu?Sigma??expData(1:)?[1]?[2:nbVar]);

%%?Plot?of?the?data
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
figure(‘position‘[10101000800]‘name‘‘GMM-GMR-demo1‘);
%plot?1D
for?n=1:nbVar-1
??subplot(3*(nbVar-1)2(n-1)*2+1);?hold?on;
??plot(Data(1:)?Data(n+1:)?‘x‘?‘markerSize‘?4?‘color‘?[.3?.3?.3]);
??axis([min(D

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2009-07-22?17:24??GMM-GMR-v2.0\
?????目錄???????????0??2009-04-03?19:32??GMM-GMR-v2.0\data\
?????文件????????7384??2008-04-18?14:26??GMM-GMR-v2.0\data\data1.mat
?????文件????????9784??2008-04-18?14:26??GMM-GMR-v2.0\data\data2_a.mat
?????文件????????1800??2008-04-18?14:26??GMM-GMR-v2.0\data\data2_b.mat
?????文件????????7392??2008-04-18?14:27??GMM-GMR-v2.0\data\data3_a.mat
?????文件????????7392??2008-04-18?14:27??GMM-GMR-v2.0\data\data3_b.mat
?????文件????????4836??2009-07-22?17:29??GMM-GMR-v2.0\demo1.m
?????文件????????4469??2009-07-22?17:29??GMM-GMR-v2.0\demo2.m
?????文件????????6157??2009-07-22?17:28??GMM-GMR-v2.0\demo3.m
?????文件????????5553??2009-07-22?17:29??GMM-GMR-v2.0\EM.m
?????文件????????1645??2009-07-22?17:25??GMM-GMR-v2.0\EM_init_kmeans.m
?????文件?????????958??2009-07-22?17:25??GMM-GMR-v2.0\gaussPDF.m
?????文件????????5109??2009-07-22?17:34??GMM-GMR-v2.0\GMR.m
?????文件????????1985??2009-07-22?17:35??GMM-GMR-v2.0\plotGMM.m
?????文件????????1336??2009-07-24?15:25??license.txt

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