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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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