3 papers
math.OC2024
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
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.OC2023
On Shor's r-Algorithm for Problems with Constraints
Vladimir Norkin, Anton Kozyriev
Shor's r-algorithm (Shor, Zhurbenko (1971), Shor (1979)) with space stretching in the direction of difference of two adjacent subgradients is a competitive method of nonsmooth opti…