1 citations · 4 across the 7 of their papers we have counts for
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math.OC2024★ 1 cited
Lossy Image Compression with Stochastic Quantization
Anton Kozyriev, Vladimir Norkin
Lossy image compression algorithms play a crucial role in various domains, including graphics, and image processing. As image information density increases, so do the resources req…
cs.LG2024★ 1 cited
Robust Clustering on High-Dimensional Data with Stochastic Quantization
Anton Kozyriev, Vladimir Norkin
This paper addresses the limitations of conventional vector quantization algorithms, particularly K-Means and its variant K-Means++, and investigates the Stochastic Quantization (S…
math.ST2024★ 1 cited
Constrained recursive kernel density/regression estimation by stochastic quasi-gradient methods
Vladimir Norkin, Vladimir Kirilyuk
The paper considers nonparametric kernel density/regression estimation from a stochastic optimization point of view. The estimation problem is represented through a family of stoch…