Results 11 to 20 of about 2,409,448 (237)
Sequence alignment, mutual information, and dissimilarity measures for constructing phylogenies. [PDF]
PLoS ONE, 2011 BACKGROUND: Existing sequence alignment algorithms use heuristic scoring schemes based on biological expertise, which cannot be used as objective distance metrics.
Orion Penner +2 more
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Normalized information distance [PDF]
, 2008 The normalized information distance is a universal distance measure for objects of all kinds. It is based on Kolmogorov complexity and thus uncomputable, but there are ways to utilize it.
Balbach, F.J. +3 more
core +6 more sources
Detecting Malware with Information Complexity
Entropy, 2020 Malware concealment is the predominant strategy for malware propagation. Black hats create variants of malware based on polymorphism and metamorphism. Malware variants, by definition, share some information.
Nadia Alshahwan +4 more
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A Compression-Based Method for Detecting Anomalies in Textual Data
Entropy, 2021 Nowadays, information and communications technology systems are fundamental assets of our social and economical model, and thus they should be properly protected against the malicious activity of cybercriminals.
Gonzalo de la Torre-Abaitua +2 more
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Unbiased Seamless SAR Image Change Detection Based on Normalized Compression Distance
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 Land cover changes may have very different nature, e.g., vegetation development, soil erosion, variation of humidity, or damage of buildings, only to enumerate few cases.
Mihai Coca, Andrei Anghel, Mihai Datcu
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Fast Phylogeny of SARS-CoV-2 by Compression
Entropy, 2022 The compression method to assess similarity, in the sense of having a small normalized compression distance (NCD), was developed based on algorithmic information theory to quantify the similarity in files ranging from words and languages to genomes and ...
Rudi L. Cilibrasi, Paul M. B. Vitányi
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A fast compression-based similarity measure with applications to content-based image retrieval [PDF]
, 2011 Compression-based similarity measures are effectively employed in applications on diverse data types with a basically parameter-free approach. Nevertheless, there are problems in applying these techniques to medium-to-large datasets which have been ...
Mihai Datcu +3 more
core +1 more source
Randomness Representation in Turbulent Flows with Kolmogorov Complexity (In Mixing Layer)
Journal of Fluid Science and Technology, 2013 Investigations of the definition and randomness of turbulence were reviewed. The Kolmogorov complexity measure of randomness was then introduced. Numerical and graphic data in the mixing layer formed downstream of a two-dimensional nozzle exit were ...
Masashi ICHIMIYA, Ikuo NAKAMURA
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PLoS Computational Biology, 2023 Drug-target binding affinity prediction plays a key role in the early stage of drug discovery. Numerous experimental and data-driven approaches have been developed for predicting drug-target binding affinity.
Mahmood Kalemati +2 more
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Blind Watermarking for Hiding Color Images in Color Images with Super-Resolution Enhancement
Sensors, 2022 This paper presents a novel approach for directly hiding the pixel values of a small color watermark in a carrier color image. Watermark embedding is achieved by modulating the gap of paired coefficient magnitudes in the discrete cosine transform domain ...
Hwai-Tsu Hu +2 more
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