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Trudy SPIIRAN, 2013, Issue 27, Pages 144–155 (Mi trspy627)  
This article is cited in 4 scientific papers (total in 4 papers)

Neural Methods for Complex Images Logic Description and Recognition

A. V. Timofeeva, T. M. Kosovskayaba

a St. Petersburg Institute for Informatics and Automation of RAS
b St. Petersburg State University, Department of Mathematics and Mechanics
Full-text PDF (781 kB) Citations (4)
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Abstract: Neural methods and logic-object methods for complex images description, analysis and recognition are considered. Algorithms for identification problems and simple pattern classification solution (for example, complex 3D-scenes on 2D-images of partially hidden objects) have been suggested. Comparative analysis for algotihms complexity has been given and computing experiments results have been described
Keywords: neural methods, logic analysis, complex pattern recognition.
Received: 05.04.2013
Document Type: Article
UDC: 004.324
Language: Russian
Citation: A. V. Timofeev, T. M. Kosovskaya, “Neural Methods for Complex Images Logic Description and Recognition”, Tr. SPIIRAN, 27 (2013), 144–155
Citation in format AMSBIB
\Bibitem{TimKos13}
\by A.~V.~Timofeev, T.~M.~Kosovskaya
\paper Neural Methods for Complex Images Logic Description and Recognition
\jour Tr. SPIIRAN
\yr 2013
\vol 27
\pages 144--155
\mathnet{http://mi.mathnet.ru/trspy627}
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  • https://www.mathnet.ru/eng/trspy/v27/p144
    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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