Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/11143| Title: | A kurtosis-based dynamic approach to Gaussian mixture modeling |
| Institution and School/Department of submitter: | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής |
| Keywords: | expectation-maximization (em) algorithm,gaussian mixture modeling,number of mixing kernels,probability density function estimation,total kurtosis,weighted kurtosis,probabilistic neural networks,maximum-likelihood,em algorithm,components,number |
| URI: | https://olympias.lib.uoi.gr/jspui/handle/123456789/11143 |
| ISSN: | 1083-4427 |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Likas-1999-A kurtosis-based dynamic approach to Gaussian mixture modeling.pdf | 146.58 kB | Adobe PDF | View/Open Request a copy |
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