Results 11 to 20 of about 1,866,673 (365)
Network Vector Quantization [PDF]
IEEE Transactions on Information Theory, 2004 We present an algorithm for designing locally optimal vector quantizers for general networks. We discuss the algorithm's implementation and compare the performance of the resulting "network vector quantizers" to traditional vector quantizers (VQs) and to rate-distortion (R-D) bounds where available.
Fleming, Michael +2 more
core +8 more sources
Multiresolution Vector Quantization [PDF]
IEEE Transactions on Information Theory, 2004 Multiresolution source codes are data compression algorithms yielding embedded source descriptions. The decoder of a multiresolution code can build a source reproduction by decoding the embedded bit stream in part or in whole. All decoding procedures start at the beginning of the binary source description and decode some fraction of that string ...
Effros, Michelle, Dugatkin, Diego
openaire +8 more sources
Greedy vector quantization [PDF]
Journal of Approximation Theory, 2015 31 pages, 4 figures, few typos corrected (now an extended version of an eponym paper to appear in Journal of Approximation)
Luschgy, Harald, Pagès, Gilles
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Quantization of Equivariant Vector Bundles [PDF]
Communications in Mathematical Physics, 1999 The quantization of vector bundles is defined. Examples are constructed for the well controlled case of equivariant vector bundles over compact coadjoint orbits. (Coadjoint orbits are symplectic spaces with a transitive, semisimple symmetry group.) In preparation for the main result, the quantization of coadjoint orbits is discussed in detail.
Hawkins, Eli
openaire +7 more sources
Uncertainty Principles and Vector Quantization [PDF]
IEEE Transactions on Information Theory, 2010 Final version, to appear in IEEE Trans. Information Theory. Introduction updated, minor inaccuracies corrected.
Yurii Lyubarskii, Roman Vershynin
openaire +4 more sources
Semilogarithmic Nonuniform Vector Quantization of Two-Dimensional Laplacean Source for Small Variance Dynamics [PDF]
Radioengineering, 2012 In this paper high dynamic range nonuniform two-dimensional vector quantization model for Laplacean source was provided. Semilogarithmic A-law compression characteristic was used as radial scalar compression characteristic of two-dimensional vector ...
Z. Peric, M. Savic, S. Panic
doaj +2 more sources
Regularized Vector Quantization for Tokenized Image Synthesis [PDF]
Computer Vision and Pattern Recognition, 2023 Quantizing images into discrete representations has been a fundamental problem in unified generative modeling. Predominant approaches learn the discrete representation either in a deterministic manner by selecting the best-matching token or in a ...
Jiahui Zhang +3 more
semanticscholar +1 more source
Avqvc: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 Voice Conversion(VC) refers to changing the timbre of a speech while retaining the discourse content. Recently, many works have focused on disentangle-based learning techniques to separate the timbre and the linguistic content information from a speech ...
Huaizhen Tang +4 more
semanticscholar +1 more source
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion [PDF]
Interspeech, 2021 One-shot voice conversion (VC), which performs conversion across arbitrary speakers with only a single target-speaker utterance for reference, can be effectively achieved by speech representation disentanglement.
Disong Wang +5 more
semanticscholar +1 more source
One-pass adaptive universal vector quantization [PDF]
, 2002 The authors introduce a one-pass adaptive universal quantization technique for real, bounded alphabet, stationary sources. The algorithm is set on line without any prior knowledge of the statistics of the sources which it might encounter and ...
Michelle Effros +2 more
openalex +3 more sources