Rank: 777 based on 94 downloads (last 30 days) and 3 files submitted
photo

Matej Kristan

E-mail
Company/University
University of Ljubljana

Personal Profile:
Professional Interests:
Computer vision, pattern recognition, machine learning

 

Watch this Author's files

 

Files Posted by Matej View all
  • 1 - 3 of
  • 3
Updated   File Tags Downloads
(last 30 days) 		Comments Rating
07 Jun 2013 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... 33 0
08 May 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 45 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... 16 2
Comments and Ratings by Matej
  • 1 - 1 of
  • 1
Updated File Comments Rating
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.
Comments and Ratings on Matej's Files View all
  • 1 - 2 of
  • 2
Updated File Comment by Comments Rating
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
  • 1 - 5 of
  • 13
signal processing, gaussian mixture models, kernel density estimation, statistics, bandwidth
Files Tagged by Matej View all
  • 1 - 3 of
  • 3
Updated   File Tags Downloads
(last 30 days) 		Comments Rating
07 Jun 2013 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... 33 0
08 May 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 45 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... 16 2

Contact us