Results 1 to 10 of about 21,396 (309)
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
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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
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Approximate Nearest Neighbor Search by Residual Vector Quantization
Sensors, 2010 A recently proposed product quantization method is efficient for large scale approximate nearest neighbor search, however, its performance on unstructured vectors is limited.
Cheng Wang, Tao Guan, Yongjian Chen
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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
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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
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CoRR, 2023 A newer version of this manuscript was archived under 2312 ...
Nguyen, David D. +3 more
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Research on Quantization Parameter Decision Scheme for High Efficiency Video Coding
Applied Sciences, 2023 High-Efficiency Video Coding (HEVC) is one of the most widely studied coding standards. It still uses the block-based hybrid coding framework of Advanced Video Coding (AVC), and compared to AVC, it can double the compression ratio while maintaining the ...
Xuesong Jin, Yansong Chai
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NSVQ: Noise Substitution in Vector Quantization for Machine Learning
IEEE Access, 2022 Machine learning algorithms have been shown to be highly effective in solving optimization problems in a wide range of applications. Such algorithms typically use gradient descent with backpropagation and the chain rule.
Mohammad Hassan Vali, Tom Backstrom
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Multiple-Description Multistage Vector Quantization
EURASIP Journal on Audio, Speech, and Music Processing, 2007 Multistage vector quantization (MSVQ) is a technique for low complexity implementation of high-dimensional quantizers, which has found applications within speech, audio, and image coding.
Pradeepa Yahampath
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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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