Matej Kristan
University of Ljubljana
Professional Interests: Computer vision, pattern recognition, machine learning
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Your submissions received 1 five star rating
Awarded to Matej Kristan on 09 Apr 2020
Your submissions were downloaded 10 or more times in a month
Awarded to Matej Kristan on 01 Nov 2019
Publish your first review
Awarded to Matej Kristan on 09 Oct 2019
Publish your first submission
Awarded to Matej Kristan on 09 Oct 2019
Content Feed
Submitted
Unscented Hellinger distance between GMMs
The code calculates a metric between a pair of multivariate Gaussian Mixture Models.
9 years ago | 7 downloads |
Submitted
Fast Kernel Density Estimator (Multivariate)
A very fast multivariate bandwidth calculation for KDE that can even be calculated from a GMM.
9 years ago | 4 downloads |
Submitted
2D Bandwidth Estimator for KDE
2D kernel density estimator from weighted data.
9 years ago | 1 download |
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