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Progress in Computer Recognition Systems

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Progress in Computer Recognition Systems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Progress in Computer Recognition Systems/ edited by Robert Burduk, Marek Kurzynski, Michał Wozniak.
other author:	Burduk, Robert.
Description:	X, 372 p. 139 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-19738-4
ISBN:	9783030197384

Progress in Computer Recognition Systems
Progress in Computer Recognition Systems[electronic resource] /edited by Robert Burduk, Marek Kurzynski, Michał Wozniak. - 1st ed. 2020. - X, 372 p. 139 illus., 81 illus. in color.online resource. - Advances in Intelligent Systems and Computing,9772194-5357 ;. - Advances in Intelligent Systems and Computing,335.

This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the most comprehensive study on this field to date, it gathers 36 carefully selected articles contributed by experts on pattern recognition. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science, artificial intelligence, and robotics. .

ISBN: 9783030197384

Standard No.: 10.1007/978-3-030-19738-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Progress in Computer Recognition Systems
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520 $a This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the most comprehensive study on this field to date, it gathers 36 carefully selected articles contributed by experts on pattern recognition. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science, artificial intelligence, and robotics. .
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