| Riadok 2: | Riadok 2: | ||
| fullname = Mgr. Radoslav Škoviera | | fullname = Mgr. Radoslav Škoviera | ||
| caption = Radoslav Škoviera | | caption = Radoslav Škoviera | ||
| − | | image = | + | | image = Rado_Skoviera.jpg |
| section = | | section = | ||
| position = doctoral student | | position = doctoral student | ||
| phone = | | phone = | ||
| room = I19 | | room = I19 | ||
| − | | email = | + | | email = skoviera[[Image:zavinac.gif|@]]fmph.uniba.sk |
| web = | | web = | ||
| info = | | info = | ||
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=== Research === | === Research === | ||
Hierarchical Temporal Memory (HTM)<br/> | Hierarchical Temporal Memory (HTM)<br/> | ||
| − | Object recognition & content-based image retrieval | + | Object recognition & content-based image retrieval<br/> |
| + | Machine learning<br/> | ||
=== Publications === | === Publications === | ||
| + | |||
| + | [1] Radoslav Škoviera and Ivan Bajla. Image classification based on hierarchical tem- | ||
| + | poral memory and color features. In J. Maňka, Viktor Witkovský, M. Tyšler, and | ||
| + | I. Frollo, editors, 9th International Conference on Measurement, pages 63–66. Insti- | ||
| + | tute of Measurement Science, SAS, 2013. | ||
| + | |||
| + | [2] R. Škoviera, I. Bajla, and J. Kučerová. Object recognition in clutter color images | ||
| + | using hierarchical temporal memory combined with salient-regions detection. In M.H. | ||
| + | Hamza, editor, IASTED Computational Intelligence, pages 245–254. ACTA Press, | ||
| + | 2015. | ||
| + | |||
| + | [3] Radoslav Škoviera, Zuzana Rošt’áková, Anna Krakovská, and Roman Rosipal. Spect- | ||
| + | ral and complexity characteristics of sleep eeg following ischemic stroke. 6th Interna- | ||
| + | tional Young Biomedical Engineers and Researchers Conference, 12:108–114, 2014. | ||
| + | |||
| + | [4] Radoslav Škoviera, Kristián Valentín, Svorad Štolč, and Ivan Bajla. Recognition of | ||
| + | untrustworthy face images in atm sessions using a bio-inspired intelligent network. In | ||
| + | Maria De Marsico and Ana L. N. Fred, editors, ICPRAM, pages 511–517. SciTePress, | ||
| + | 2013. | ||
| + | |||
| + | [5] Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Temporal po- | ||
| + | oling method for rapid htm learning applied to geometric object recognition. In | ||
| + | J. Maňka, Viktor Witkovský, M. Tyšler, and I. Frollo, editors, Proceedings of the 8th | ||
| + | International Conference on Measurement, pages 59–64. Institute of Measurement | ||
| + | Science, SAS, 2011. | ||
| + | |||
| + | [6] Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Pair-wise tem- | ||
| + | poral pooling method for rapid training of the htm networks used in computer vision | ||
| + | applications. Computing and Informatics, 31(4):901–919, 2012. | ||
}} | }} | ||
Aktuálna revízia z 18:05, 27. február 2015
Radoslav Škoviera
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Research
Hierarchical Temporal Memory (HTM)
Object recognition & content-based image retrieval
Machine learning
Publications
[1] Radoslav Škoviera and Ivan Bajla. Image classification based on hierarchical tem- poral memory and color features. In J. Maňka, Viktor Witkovský, M. Tyšler, and I. Frollo, editors, 9th International Conference on Measurement, pages 63–66. Insti- tute of Measurement Science, SAS, 2013.
[2] R. Škoviera, I. Bajla, and J. Kučerová. Object recognition in clutter color images using hierarchical temporal memory combined with salient-regions detection. In M.H. Hamza, editor, IASTED Computational Intelligence, pages 245–254. ACTA Press, 2015.
[3] Radoslav Škoviera, Zuzana Rošt’áková, Anna Krakovská, and Roman Rosipal. Spect- ral and complexity characteristics of sleep eeg following ischemic stroke. 6th Interna- tional Young Biomedical Engineers and Researchers Conference, 12:108–114, 2014.
[4] Radoslav Škoviera, Kristián Valentín, Svorad Štolč, and Ivan Bajla. Recognition of untrustworthy face images in atm sessions using a bio-inspired intelligent network. In Maria De Marsico and Ana L. N. Fred, editors, ICPRAM, pages 511–517. SciTePress, 2013.
[5] Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Temporal po- oling method for rapid htm learning applied to geometric object recognition. In J. Maňka, Viktor Witkovský, M. Tyšler, and I. Frollo, editors, Proceedings of the 8th International Conference on Measurement, pages 59–64. Institute of Measurement Science, SAS, 2011.
[6] Svorad Štolc, Ivan Bajla, Kristián Valentín, and Radoslav Škoviera. Pair-wise tem- poral pooling method for rapid training of the htm networks used in computer vision applications. Computing and Informatics, 31(4):901–919, 2012.