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<DIV><SPAN class=692375516-09072005><FONT face=Arial size=2>Hallo to
everyone,</FONT></SPAN></DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial size=2>i am new to ITK, so
please forgive me for the simple question.</FONT></SPAN></DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial size=2>I want to implement
a maximum likelihood classifier. The feature vector is 5-dimensional, which
means that i have 5 values for a single pixel (image classification).
Although i have read the examples (ExpectationMaximization<FONT face=Courier
size=2>MixtureModelEstimator)</FONT> with the two 1D Gaussians, i haven't
been able to feed the classifier in the correct way. What's the right way to
represent the input data? How are the measurement vectors suppose to be filled?
What i actually need is the correct way to change the following lines (acquired
from ITK example), in order to obtain a classification on a 5x18432 (features X
#pixels) input matrix.</FONT></SPAN></DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial size=2> typedef
itk::Vector< double, 1 > MeasurementVectorType;<BR> typedef
itk::Statistics::ListSample< MeasurementVectorType > SampleType;<BR>
SampleType::Pointer sample = SampleType::New();</FONT></SPAN></DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial size=2>Thanks in
advance,</FONT></SPAN></DIV>
<DIV><SPAN class=692375516-09072005><FONT face=Arial size=2>Kostas</DIV>
<DIV><BR></DIV></FONT></SPAN></BODY></HTML>