Thesis supervisor: Attila Fazekas
Location of studies (in Hungarian): University of Debrecen Faculty of Informatics Abbreviation of location of studies: ITDI
Description of the research topic:
Statistical learning algorithms have also appeared in the field of digital image processing during the last decade. Their applications have been successful in many areas: medical image processing, self-driving vehicles, etc. In the framework of this topic, new areas of application would be investigated, applicability conditions would be characterized, benchmark and ranking methods would be developed, and learning difficulties (unbalanced datasets) would be dealt with.
Bibliography
1. Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong: Mathematics for Machine Learning, Cambridge University Press, 2020
2. Christopher M. Bishop: Pattern Recognition and Machine Learning, Springer, 2006.
3. D.J. Hemanth, V. Vieira Estrela: Deep Learning for Image Processing Applications (Advances in Parallel Computing), IOS Press, 2017.
Deadline for application: 2024-05-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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