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Ingénierie sémiotique et modélisation diagrammatique ; Ingénierie sémiotique et modélisation diagrammatique: au-delà du modèle de Turing
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In: https://hal.archives-ouvertes.fr/hal-03450312 ; 2021 (2021)
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Ingénierie sémiotique et modélisation diagrammatique ; Ingénierie sémiotique et modélisation diagrammatique: au-delà du modèle de Turing
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In: https://hal.archives-ouvertes.fr/hal-03450312 ; 2021 (2021)
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A General Language Model for Information Retrieval
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In: http://ciir.cs.umass.edu/pubfiles/ir-171.pdf (1999)
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The Turing Closure of an Archimedean Field
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In: ftp://dotto.usr.dsi.unimi.it/users/vigna/TuringClosure.ps.gz (1997)
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Geometric and stochastic analysis of reaction-diffusion patterns
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In: http://ijpam.eu/contents/2005-19-2/6/6.pdf
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Abstract:
Abstract: After Turing’s ingenious work on the chemical basis of morpho-genesis fifty years ago, reaction-diffusion patterns have been extensively studied in terms of modelling and analysis of pattern formations (in both chemistry and biology), pattern growing in complex laboratory environments, and novel applications in computer graphics. A fundamental question that remains unan-swered in the literature is what one precisely means by (reaction-diffusion) patterns. Most patterns have only been discovered, identified, or explained by human vision and human intelligence. Inspired by the recent advancement in Mathematical Image and Vision Analysis (MIVA), the current paper develops both geometric and stochastic tools and frameworks for identifying, classifying, and characterizing common reaction-diffusion patterns and pattern formations. In essence, it presents a data mining theory for the scientific simulations of reaction-diffusion patterns, or various analytical tools for the automatic char-acterization of generic complex patterns by artificial intelligence.
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Keyword:
2005 c © 2005; en- tropy; geometric measures; Gray-Scott model; January 3; Key Words; kurtosis; maturity; reaction-diffusion; singularities Received; skele- ton curves; skewness; total curvatures; turing instabilities
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.2429
http://ijpam.eu/contents/2005-19-2/6/6.pdf
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Modeling a Virtual Learning Environment as States of a Touring Machine
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In: http://anale-mi.spiruharet.ro/upload/full_2012_2_a3.pdf
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