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Progress in pattern classification a...

International Conference on Computer Recognition Systems (2025 :)

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Progress in pattern classification and machine learning = proceedings of the 14th International Conference on Computer Recognition Systems 2025 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Progress in pattern classification and machine learning/ edited by Paweł Trajdos, Robert Burduk.
Reminder of title:	proceedings of the 14th International Conference on Computer Recognition Systems 2025 /
other author:	Trajdos, Paweł.
corporate name:	International Conference on Computer Recognition Systems
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	x, 113 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Suggested Future Trends in Computer-Aided Recognition Methods and Problems -- Formal foundations of vague language transduction for syntactic pattern recognition -- A Target-Oriented Image Fusion Method for Quality Inspection of Heat-Sealed Packages -- Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection, etc.
Contained By:	Springer Nature eBook
Subject:	Pattern recognition systems - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-032-01773-4
ISBN:	9783032017734

Progress in pattern classification and machine learning = proceedings of the 14th International Conference on Computer Recognition Systems 2025 /
Progress in pattern classification and machine learningproceedings of the 14th International Conference on Computer Recognition Systems 2025 /[electronic resource] :edited by Paweł Trajdos, Robert Burduk. - Cham :Springer Nature Switzerland :2025. - x, 113 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,15572367-3389 ;. - Lecture notes in networks and systems ;1557..

Suggested Future Trends in Computer-Aided Recognition Methods and Problems -- Formal foundations of vague language transduction for syntactic pattern recognition -- A Target-Oriented Image Fusion Method for Quality Inspection of Heat-Sealed Packages -- Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection, etc.

This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition. The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results. 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 and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.

ISBN: 9783032017734

Standard No.: 10.1007/978-3-032-01773-4doiSubjects--Topical Terms:

563039
Pattern recognition systems
--Congresses.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Progress in pattern classification and machine learning = proceedings of the 14th International Conference on Computer Recognition Systems 2025 /
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505 0 $a Suggested Future Trends in Computer-Aided Recognition Methods and Problems -- Formal foundations of vague language transduction for syntactic pattern recognition -- A Target-Oriented Image Fusion Method for Quality Inspection of Heat-Sealed Packages -- Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection, etc.
520 $a This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition. The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results. 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 and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.
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700 1 $a Trajdos, Paweł. $3 3790393
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