Quantum Computing Approaches for Vector Quantization—Current Perspectives and Developments [PDF]
Entropy, 2023 In the field of machine learning, vector quantization is a category of low-complexity approaches that are nonetheless powerful for data representation and clustering or classification tasks. Vector quantization is based on the idea of representing a data
Alexander Engelsberger, Thomas Villmann
doaj +2 more sources
Geometric Quantization of Vector Bundles and the Correspondence with Deformation Quantization [PDF]
Communications in Mathematical Physics, 2000 I repeat my definition for quantization of a vector bundle. For the case of Toeplitz and geometric quantization of a compact Kaehler Manifold, I give a construction for quantizing any smooth vector bundle which depends functorially on a choice of connection on the bundle.
Eli Hawkins
openalex +6 more sources
Spherical-Cap Approximation of Vector Quantization for Quantization-Based Combining in MIMO Broadcast Channels with Limited Feedback [PDF]
Sensors, 2022 The spherical-cap approximation of vector quantization (SCVQ) is an analytical model used for the mathematical analysis of multiple-input multiple-output (MIMO) systems with limited feedback.
Moonsik Min, Tae-Kyoung Kim
doaj +2 more sources
Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree. [PDF]
J Med Syst, 2017 The aim of the article is to present a novel method for fuzzy medical image retrieval (FMIR) using vector quantization (VQ) with fuzzy signatures in conjunction with fuzzy S-trees.
Nowaková J, Prílepok M, Snášel V.
europepmc +2 more sources
Edge state quantization: vector fields in Rindler [PDF]
Journal of High Energy Physics, 2018 We present a detailed discussion of the entanglement structure of vector fields through canonical quantization. We quantize Maxwell theory in Rindler space in Lorenz gauge, discuss the Hilbert space structure and analyze the Unruh effect.
Andreas Blommaert +3 more
doaj +2 more sources
Introduction to vector quantization and its applications for numerics*
ESAIM: Proceedings and Surveys, 2015 We present an introductory survey to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data Mining. Both theoretical results on the quantization rate of a
Pagès Gilles
doaj +2 more sources
Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design [PDF]
Sensors, 2016 The performance of signal processing systems based on vector quantization depends on codebook design. In the image compression scenario, the quality of the reconstructed images depends on the codebooks used.
Edson Mata +4 more
doaj +2 more sources
Two Layer Vector Quantization of Images [PDF]
Radioengineering, 2001 This paper deals with spatial scaleable vector quantization ofimages by using two layers. At the base layer the small dimensionalfull search vector quantization of an image of block means is carriedout.
V. Michalcin, I. Gladisova, J. Mihalik
doaj +1 more source
Fast texture synthesis using tree-structured vector quantization [PDF]
International Conference on Computer Graphics and Interactive Techniques, 2000 Li‐Yi Wei, Marc Levoy
openalex +2 more sources
HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec [PDF]
arXiv.org, 2023 Audio codec models are widely used in audio communication as a crucial technique for compressing audio into discrete representations. Nowadays, audio codec models are increasingly utilized in generation fields as intermediate representations.
Dongchao Yang +5 more
semanticscholar +1 more source