13+ results for 'robustDemo' (1102 ms)
13#include "itkProbabilisticRegistrationFunction.h"
14#include "itkRobustDemonsRegistrationFunction.h"
15#include "itkRobustOpticalFlow.h"
index.html http://pmtk3.googlecode.com/svn/trunk/ | HTML | 203 lines
176<tr bgcolor="white" align="left">
177<td>robustDemo</td>
178 <td> <a href="robustDemo.html"> Illustrate the robustness of the student and laplace distributions compared to the Gaussian. </td>
linregRobustDemo.html http://pmtk3.googlecode.com/svn/trunk/ | HTML | 213 lines
8To make changes, update the MATLAB code and republish this document.
9 --><title>Robust linear regression demo</title><meta name="generator" content="MATLAB 7.12"><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/"><meta name="DC.date" content="2012-03-27"><meta name="DC.source" content="linregRobustDemo.m"><style type="text/css">
10
66
67<span class="keyword">function</span> linregRobustDemo()
68</pre><pre class="codeinput">requireOptimToolbox
90printPmtkFigure(<span class="string">'linregRobustLaplaceStudent'</span>)
91</pre><img vspace="5" hspace="5" src="linregRobustDemo_01.png" alt=""> <h2>Huber loss<a name="6"></a></h2><pre class="codeinput"><span class="keyword">if</span> 1
92 legendStr = {<span class="string">'Least Squares'</span>};
102<span class="keyword">end</span>
103</pre><img vspace="5" hspace="5" src="linregRobustDemo_02.png" alt=""> <pre class="codeinput"><span class="keyword">end</span>
104</pre><pre class="codeinput"><span class="keyword">function</span> doPlot(x, y, yhat, legendStr)
136
137function linregRobustDemo()
138requireOptimToolbox
linregRobustDemoCombined.html http://pmtk3.googlecode.com/svn/trunk/ | HTML | 213 lines
8To make changes, update the MATLAB code and republish this document.
9 --><title>Robust linear regression demo</title><meta name="generator" content="MATLAB 7.12"><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/"><meta name="DC.date" content="2012-03-27"><meta name="DC.source" content="linregRobustDemoCombined.m"><style type="text/css">
10
66
67<span class="keyword">function</span> linregRobustDemoCombined()
68</pre><pre class="codeinput">requireOptimToolbox
101printPmtkFigure(<span class="string">'linregRobustAll'</span>)
102</pre><img vspace="5" hspace="5" src="linregRobustDemoCombined_01.png" alt=""> <pre class="codeinput"><span class="keyword">end</span>
103</pre><pre class="codeinput"><span class="keyword">function</span> doPlot(x, y, yhat, legendStr)
135
136function linregRobustDemoCombined()
137requireOptimToolbox
robustDemo.html http://pmtk3.googlecode.com/svn/trunk/ | HTML | 178 lines
8To make changes, update the MATLAB code and republish this document.
9 --><title>Illustrate the robustness of the student and laplace distributions compared to the Gaussian.</title><meta name="generator" content="MATLAB 7.12"><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/"><meta name="DC.date" content="2012-03-27"><meta name="DC.source" content="robustDemo.m"><style type="text/css">
10
66
67<span class="keyword">function</span> robustDemo()
68</pre><pre class="codeinput">n = 30;
77plotPDFs(data);
78printPmtkFigure(<span class="string">'robustDemoNoOutliers'</span>)
79</pre><img vspace="5" hspace="5" src="robustDemo_01.png" alt=""> <pre class="codeinput">figure;
82plotPDFs([data ; outliers]);
83printPmtkFigure(<span class="string">'robustDemoOutliers'</span>)
84</pre><img vspace="5" hspace="5" src="robustDemo_02.png" alt=""> <h2>Bucket the data into nbins, divide the size of each bin by norm and plot<a name="4"></a></h2><h2>the normalized histogram.<a name="5"></a></h2><pre class="codeinput"><span class="keyword">function</span> plotHist(data,nbins,norm)
121
122function robustDemo()
123
linregRobustDemo.m http://pmtk3.googlecode.com/svn/trunk/ | Objective C | 81 lines
6
7function linregRobustDemo()
8requireOptimToolbox
robustDemo.m http://pmtk3.googlecode.com/svn/trunk/ | Objective C | 61 lines
6
7function robustDemo()
8
18plotPDFs(data);
19printPmtkFigure('robustDemoNoOutliers')
20%%
24plotPDFs([data ; outliers]);
25printPmtkFigure('robustDemoOutliers')
26
index.html http://pmtk3.googlecode.com/svn/trunk/ | HTML | 161 lines
140<tr bgcolor="white" align="left">
141<td>linregRobustDemoCombined</td>
142 <td> <a href="linregRobustDemoCombined.html"> Robust linear regression demo </td>
linregRobustDemoCombined.m http://pmtk3.googlecode.com/svn/trunk/ | Objective C | 82 lines
6
7function linregRobustDemoCombined()
8requireOptimToolbox
itkRobustDemonsRegistrationFunction.hxx https://github.com/ntustison/Utilities.git | C++ Header | 276 lines
3 Program: Insight Segmentation & Registration Toolkit
4 Module: $RCSfile: itkRobustDemonsRegistrationFunction.hxx,v $
5 Language: C++
16=========================================================================*/
17#ifndef _itkRobustDemonsRegistrationFunction_hxx_
18#define _itkRobustDemonsRegistrationFunction_hxx_
19
20#include "itkRobustDemonsRegistrationFunction.h"
21#include "itkExceptionObject.h"
29template <class TFixedImage, class TMovingImage, class TDeformationField>
30RobustDemonsRegistrationFunction<TFixedImage,TMovingImage,TDeformationField>
31::RobustDemonsRegistrationFunction()
73void
74RobustDemonsRegistrationFunction<TFixedImage,TMovingImage,TDeformationField>
75::PrintSelf(std::ostream& os, Indent indent) const
itkRobustDemonsRegistrationFunction.h https://github.com/ntustison/Utilities.git | C Header | 235 lines
3 Program: Insight Segmentation & Registration Toolkit
4 Module: $RCSfile: itkRobustDemonsRegistrationFunction.h,v $
5 Language: C++
16=========================================================================*/
17#ifndef _itkRobustDemonsRegistrationFunction_h_
18#define _itkRobustDemonsRegistrationFunction_h_
29/**
30* \class RobustDemonsRegistrationFunction
31*
32* This class encapsulate the PDE which drives the demons registration
33* algorithm. It is used by RobustDemonsRegistrationFilter to compute the
34* output deformation field which will map a moving image onto a
48*
49* \sa RobustDemonsRegistrationFilter
50* \ingroup FiniteDifferenceFunctions
regression_svm3.m https://github.com/chew-z/libsvm.git | MATLAB | 28 lines
26% plot(z, y(N+1:end), '.');
27% robustdemo(z, y(N/2+1:end))
28
regression_svm2.m https://github.com/chew-z/libsvm.git | MATLAB | 34 lines
24figure('color','w'); plot(z, y(N/2+1:end), '.');
25robustdemo(z, y(N/2+1:end))
26% axis equal;axis square;