dc.contributor.author | SCROB, Sergiu | |
dc.date.accessioned | 2025-06-15T15:09:26Z | |
dc.date.available | 2025-06-15T15:09:26Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | SCROB, Sergiu. PERSIST: A new probabilistic model for data denoising. In: International Conference dedicated to the 60th anniversary of the foundation of Vladimir Andrunachievici Institute of Mathematics and Computer Science, MSU: Proceedings IMCS-60, Chişinău, 10-13 Octombrie, 2024. Institutul de Matematică şi Informatică "Vladimir Andrunachievici", USM. Chişinău: "VALINEX" SRL, 2024, pp. 462-466. ISBN 978-9975-68-515-3. | en_US |
dc.identifier.isbn | 978-9975-68-515-3 | |
dc.identifier.uri | https://repository.utm.md/handle/5014/32015 | |
dc.description.abstract | The paper proposes a more efficient solution for reducing the data noise level, using probability estimation for radius-based spatial inference and sampling techniques. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institutul de Matematică şi Informatică "Vladimir Andrunachievici", USM | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | data denoising | en_US |
dc.subject | probabilistic model | en_US |
dc.subject | radiusbasedspatial inference | en_US |
dc.subject | spatial probability | en_US |
dc.title | PERSIST: A new probabilistic model for data denoising | en_US |
dc.type | Article | en_US |
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