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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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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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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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Diagnostics, 2022 The purpose of this study was to evaluate the image quality of compressed-sensing accelerated single-shot fast spin-echo (SSFSECS) sequences acquired within a single breath-hold in comparison with conventional SSFSE (SSFSECONV) and multishot TSE (mTSE ...
Hyun Kyung Lee +4 more
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Deep learning for in situ data compression of large turbulent flow simulations
, 2020 Large turbulent flow simulations can lead to information bottlenecks as data is generated faster than it can be processed and saved. Innovative in-situ data compression techniques are needed.
Andrew Glaws, R. King, M. Sprague
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Information-Theoretic Method for Assessing the Quality of Translations
Entropy, 2022 In recent years, the task of translating from one language to another has attracted wide attention from researchers due to numerous practical uses, ranging from the translation of various texts and speeches, including the so-called “machine” translation,
Boris Ryabko, Nadezhda Savina
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General Regression Neural Network Application for Dynamic Data Compression and Decompression [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 In the last decade have been witnessed a great development in artificial intelligence especially in neural network .This paper have been employed neural networks techniques for data compression and decompression.
safwan hasoon, Susan Mohammed
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Information, 2023 Current microprocessor-based relay protection and automation (RPA) devices supported by IEC 61850 provide access to a large amount of information on the protected or controlled electric power facility in real time.
Aleksandr Kulikov +2 more
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Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology [PDF]
, 2018 Many statistical models in cosmology can be simulated forwards but have intractable likelihood functions. Likelihood-free inference methods allow us to perform Bayesian inference from these models using only forward simulations, free from any likelihood ...
J. Alsing +2 more
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