PERSIST: A New Probabilistic Model For Data Denoising [Articol]
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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.
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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, October 10-13 2024. Chisinau: [S. n.], 2024, pp. 462-466. ISBN 978-9975-68-515-3.