Results 31 to 40 of about 22,252,197 (309)
Sketch distance-based clustering of chromosomes for large genome database compression
BMC Genomics, 2019 Background The rapid development of Next-Generation Sequencing technologies enables sequencing genomes with low cost. The dramatically increasing amount of sequencing data raised crucial needs for efficient compression algorithms.
Tao Tang +4 more
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Autonomous Robots and the SP Theory of Intelligence
IEEE Access, 2014 This paper is about how the SP theory of intelligence and its realization in the SP machine (both outlined in this paper) may help in the design of the brains of autonomous robots, meaning robots that do not depend on external intelligence or power ...
James Gerard Wolff
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Generalized massive optimal data compression [PDF]
, 2017 Data compression has become one of the cornerstones of modern astronomical data analysis, with the vast majority of analyses compressing large raw datasets down to a manageable number of informative summaries. In this paper we provide a general procedure
J. Alsing, B. Wandelt
semanticscholar +1 more source
Expanding the Algorithmic Information Theory Frame for Applications to Earth Observation
Entropy, 2013 Recent years have witnessed an increased interest towards compression-based methods and their applications to remote sensing, as these have a data-driven and parameter-free approach and can be thus succesfully employed in several applications, especially
Mihai Datcu, Daniele Cerra
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Image compression in local helioseismology [PDF]
A&A 571, A42 (2014), 2014 Context. Several upcoming helioseismology space missions are very limited in telemetry and will have to perform extensive data compression. This requires the development of new methods of data compression. Aims. We give an overview of the influence of lossy data compression on local helioseismology.
arxiv +1 more source
Rate-Distortion Balanced Data Compression for Wireless Sensor Networks [PDF]
IEEE Sensors Journal, 2016 This paper presents a data compression algorithm with error bound guarantee for wireless sensor networks (WSNs) using compressing neural networks.
Mohammad Abu Alsheikh +3 more
semanticscholar +1 more source
HitIct:Chinese corpus for the evaluation of lossless compression algorithms
Tongxin xuebao, 2009 HitIct, a Chinese corpus for the evaluation of lossless compression algorithms based on ANSI code, was proposed.In accordance with the principle of application representativeness, Complementary principle and openness principle, a large number of ...
CHANG Wei-ling1 +3 more
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Data Compression Concepts and Algorithms and Their Applications to Bioinformatics
Entropy, 2009 Data compression at its base is concerned with how information is organized in data. Understanding this organization can lead to efficient ways of representing the information and hence data compression.
Özkan U. Nalbantoglu +2 more
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Compression Performance Analysis of Different File Formats [PDF]
arXiv, 2023 In data storage and transmission, file compression is a common technique for reducing the volume of data, reducing data storage space and transmission time and bandwidth. However, there are significant differences in the compression performance of different types of file formats, and the benefits vary.
arxiv
Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification [PDF]
IEEE Wireless Communications and Networking Conference, 2017 In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed not only to extract ...
Ahmed Ben Said +4 more
semanticscholar +1 more source