Results 21 to 30 of about 21,396 (309)
Composite description based on color vector quantization and visual primary features for CBIR tasks
, 2021 This paper presents a novel method for content-based color image retrieval that combines color vector quantization and visual primary features into a compact feature representation.
Zhou, Jun +3 more
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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
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Applied Sciences, 2023 Multiple digital watermarking is an important and challenging task in geographic information science and data security. Vector geographic data are a basic data format for digital geographic data storage, and the security protection of these data involves
Yingying Wang +2 more
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Robust image and video coding with pyramid vector quantisation [PDF]
, 1999 Most current image and video coding standards use variable length codes to achieve compression, which renders the compressed bitstream very sensitive to channel errors.
Bull, D R, Chung How, JTH, Bull, DR
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Lightweight Road Environment Segmentation using Vector Quantization [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesRoad environment segmentation plays a significant role in autonomous driving. Numerous works based on Fully Convolutional Networks (FCNs) and Transformer architectures have been proposed to leverage local and global contextual learning for efficient and ...
J. Kwag, A. Yilmaz, C. Toth
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Improved batch fuzzy learning vector quantization for image compression
, 2008 In this paper, we develop a batch fuzzy learning vector quantization algorithm that attempts to solve certain problems related to the implementation of fuzzy clustering in image compression.
Tsekouras, G.E. +4 more
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USING LEARNING VECTOR QUANTIZATION METHOD FOR AUTOMATED IDENTIFICATION OF MYCOBACTERIUM TUBERCULOSIS
Indonesian Journal of Tropical and Infectious Disease, 2015 In this paper, we are developing an automated method for the detection of tubercle bacilli in clinical specimens, principally the sputum. This investigation is the first attempt to automatically identify TB bacilli in sputum using image processing and ...
Endah Purwanti, Prihartini Widiyanti
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IEEE Access, 2021 In a real-world environment, there are several difficult obstacles to overcome in classification. Those obstacles are data overlapping and skewness of data distribution. Overlapping data occur when many data from different classes overlap with each other;
Wisnu Jatmiko +7 more
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Advanced Functional Materials, EarlyView.Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son +5 more
wiley +1 more source
Voice Identification Using MFCC and Vector Quantization
مجلة بغداد للعلوم, 2020 The speaker identification is one of the fundamental problems in speech processing and voice modeling. The speaker identification applications include authentication in critical security systems and the accuracy of the selection.
Bassel Alkhatib +1 more
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