Results 11 to 20 of about 350,072 (251)
Trajectory Data Compression Algorithm Based on Ship Navigation State and Acceleration Variation
Journal of Marine Science and Engineering, 2023 An active area of study under the dual carbon target, which is based on automatic identification systems (AIS), is the emission inventory of pollutants from ships.
Junbo Gao, Ze Cai, Wangjing Yu, Wei Sun
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Time-Universal Data Compression
Algorithms, 2019 Nowadays, a variety of data-compressors (or archivers) is available, each of which has its merits, and it is impossible to single out the best ones. Thus, one faces the problem of choosing the best method to compress a given file, and this problem is ...
Boris Ryabko
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Improved Edge Folding Algorithm for 3D Building Models Taking into Account the Visual Features
Buildings, 2023 Simplifying 3D building models, effectively reducing model complexity and improving mapping efficiency, is an important part of 3D GIS. In order to address the problem that the simplification basis considered by most 3D building model data compression ...
Haoyuan Bai +4 more
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A tight upper bound on the size of the antidictionary of a binary string [PDF]
Discrete Mathematics & Theoretical Computer Science, 2005 A tight upper bound of the size of the antidictionary of a binary string is presented. And it is shown that the size of the antidictionary of a binary sting is always smaller than or equal to that of its dictionary.
Hiroyoshi Morita, Takahiro Ota
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Journal of Digital Imaging, 1997 The tutorial will expand on all of the topics outlined above and will provide additional information on other compression techniques. The practical implications of data compression and the important considerations in choosing a compression scheme will also be discussed.
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Average Redundancy for Known Sources: Ubiquitous Trees in Source Coding [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 Analytic information theory aims at studying problems of information theory using analytic techniques of computer science and combinatorics. Following Hadamard's precept, these problems are tackled by complex analysis methods such as generating functions,
Wojciech Szpankowski
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Interactive Compression of Digital Data
Algorithms, 2010 If we can use previous knowledge of the source (or the knowledge of a source that is correlated to the one we want to compress) to exploit the compression process then we can have significant gains in compression.
Bruno Carpentieri
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IEEE Journal of Microwaves, 2022 Modern sensor networks—those used for autonomous driving, security systems, human motion tracking, or smart city/smart factory applications—are shifting to a more centralized data processing approach to enable efficient multimodal ...
Georg Korner +7 more
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IEEE Open Journal of Signal Processing, 2021 Most of the existing deep learning based end-to-end image/video coding (DLEC) architectures are designed for non-subsampled RGB color format. However, in order to achieve a superior coding performance, many state-of-the-art block-based compression ...
Hilmi Egilmez +7 more
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Compression of Vehicle Trajectories with a Variational Autoencoder
Applied Sciences, 2020 The perception and prediction of the surrounding vehicles’ trajectories play a significant role in designing safe and optimal control strategies for connected and automated vehicles.
Olivér Rákos +3 more
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