Rank: 918 based on 98 downloads (last 30 days) and 3 files submitted
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Matej Kristan

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Company/University
University of Ljubljana

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Professional Interests:
Computer vision, pattern recognition, machine learning

 

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Files Posted by Matej View all
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(last 30 days) 		Comments Rating
16 Apr 2013 Screenshot Fast Kernel Density Estimator (Multivariate) A very fast multivariate bandwidth calculation for KDE that can even be calculated from a GMM. Author: Matej Kristan kernel density estima..., gaussian mixture mode..., bandwidth, multivariate, signal processing, optimization 57 0
08 Apr 2013 Screenshot 2D Bandwidth Estimator for KDE 2D kernel density estimator from weighted data. Author: Matej Kristan statistics, signal processing, kernel density estima..., multivariate bandwidt..., gaussian mixture mode... 25 2
13 Apr 2012 Screenshot Unscented Hellinger distance between GMMs The code calculates a metric between a pair of multivariate Gaussian Mixture Models. Author: Matej Kristan signal processing, statistics, gaussian mixture mode..., distance functions, hellinger distance, bhattacharryya distan... 16 0
Comments and Ratings by Matej
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08 Apr 2013 2D Bandwidth Estimator for KDE 2D kernel density estimator from weighted data. Author: Matej Kristan

bmv, thanks for the error dump. Apparently there was a leftover dependency on the Lightspeed Toolbox. I've updated the submission and it now includes the missing function.
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08 Apr 2013 2D Bandwidth Estimator for KDE 2D kernel density estimator from weighted data. Author: Matej Kristan Kristan, Matej

bmv, thanks for the error dump. Apparently there was a leftover dependency on the Lightspeed Toolbox. I've updated the submission and it now includes the missing function.
29 Mar 2013 2D Bandwidth Estimator for KDE 2D kernel density estimator from weighted data. Author: Matej Kristan bmv

>> demoBWEstimation

Undefined function 'col_sum' for input arguments of type 'double'.
Error in normmixpdf (line 56)
pl = logConstant - 0.5*col_sum(dx.*dx);
Error in evaluatePointsUnderPdf (line 17)
[ p, model ] = normmixpdf( model, X, minerr ) ;
Error in visualizePdf2d2 (line 51)
p = evaluatePointsUnderPdf(pdf, data) ;
Error in visualizeKDE (line 55)
outdat = visualizePdf2d2( kde.pdf, boundsIm, [], grans ) ;
Error in demoBWEstimation (line 47)
subplot(2,3,1) ; I_k = visualizeKDE('kde', kde_k, 'tabulated', 1) ;

Top Tags Applied by Matej
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signal processing, gaussian mixture models, kernel density estimation, statistics, bandwidth
Files Tagged by Matej View all
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Updated   File Tags Downloads
(last 30 days) 		Comments Rating
16 Apr 2013 Screenshot Fast Kernel Density Estimator (Multivariate) A very fast multivariate bandwidth calculation for KDE that can even be calculated from a GMM. Author: Matej Kristan kernel density estima..., gaussian mixture mode..., bandwidth, multivariate, signal processing, optimization 57 0
08 Apr 2013 Screenshot 2D Bandwidth Estimator for KDE 2D kernel density estimator from weighted data. Author: Matej Kristan statistics, signal processing, kernel density estima..., multivariate bandwidt..., gaussian mixture mode... 25 2
13 Apr 2012 Screenshot Unscented Hellinger distance between GMMs The code calculates a metric between a pair of multivariate Gaussian Mixture Models. Author: Matej Kristan signal processing, statistics, gaussian mixture mode..., distance functions, hellinger distance, bhattacharryya distan... 16 0

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