Progress in image processing, pattern recognition and communication systems : proceedings of the conference (CORES, IP&C, ACS) - June 28-30 2021 / Michal Choraś, Ryszard S. Choraś, Marek Kurzyński, Paweł Trajdos, Jerzy Pejaś, Tomasz Hyla, editors.
Choraś, Michal, editor.; Choraś, Ryszard S., editor.; Kurzyński, Marek, editor.; Trajdos, Paweł, editor.; Pejaś, Jerzy, 1954- editor.; Hyla, Tomasz, editor.; Conference on Image Processing and Communications (2021 : Online); International Conference on Computer Recognition Systems (2021 : Online); Conference on Advanced Computer Systems (2021 : Online)
2022
TA1634 .P76 2021eb
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Title
Progress in image processing, pattern recognition and communication systems : proceedings of the conference (CORES, IP&C, ACS) - June 28-30 2021 / Michal Choraś, Ryszard S. Choraś, Marek Kurzyński, Paweł Trajdos, Jerzy Pejaś, Tomasz Hyla, editors.
ISBN
9783030815233 (electronic bk.)
3030815234 (electronic bk.)
9783030815226
3030815226
3030815234 (electronic bk.)
9783030815226
3030815226
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xiv, 352 pages : illustrations (some color))
Item Number
10.1007/978-3-030-81523-3 doi
Call Number
TA1634 .P76 2021eb
Dewey Decimal Classification
006.3/7
Summary
This book presents a collection of high-quality research papers accepted to multi-conference consisting of International Conference on Image Processing and Communications (IP & C 2021), International Conference on Computer Recognition Systems (CORES 2021), International Conference on Advanced Computer Systems (ACS 2021) held jointly in Bydgoszcz, Poland (virtually), in June 2021. The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results. The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems. Machine learning solutions for security and networks are tackled in part four of the book, while the last part collects papers on progress in advanced computer systems. We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 26, 2021).
Added Author
Choraś, Michal, editor.
Choraś, Ryszard S., editor.
Kurzyński, Marek, editor.
Trajdos, Paweł, editor.
Pejaś, Jerzy, 1954- editor.
Hyla, Tomasz, editor.
Choraś, Ryszard S., editor.
Kurzyński, Marek, editor.
Trajdos, Paweł, editor.
Pejaś, Jerzy, 1954- editor.
Hyla, Tomasz, editor.
Added Meeting Name
Conference on Image Processing and Communications (2021 : Online)
International Conference on Computer Recognition Systems (2021 : Online)
Conference on Advanced Computer Systems (2021 : Online)
International Conference on Computer Recognition Systems (2021 : Online)
Conference on Advanced Computer Systems (2021 : Online)
Series
Lecture notes in networks and systems ; v. 255.
Available in Other Form
Progress in image processing, pattern recognition and communication systems.
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Table of Contents
Part I. Advances in Pattern Recognition and Classifiers
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members
Hybrid Learning Model for Syntactic Pattern Recognition
Distance Metrics in Clusteringpg and Weighted Scoring Algorithm
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier
ALEA: An Anonymous Leader Election Algorithm for Synchronous Distributed Systems
Part II Progress in Image Processing and Computer Vision
Comparing Concepts of Quantum and Classical Neural Network Models for Image Classification Task
Can color visual cryptography be truly random?
Description-based ranking of visual instances: feasibility study for keypoints
Plus 25 other papers.
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members
Hybrid Learning Model for Syntactic Pattern Recognition
Distance Metrics in Clusteringpg and Weighted Scoring Algorithm
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier
ALEA: An Anonymous Leader Election Algorithm for Synchronous Distributed Systems
Part II Progress in Image Processing and Computer Vision
Comparing Concepts of Quantum and Classical Neural Network Models for Image Classification Task
Can color visual cryptography be truly random?
Description-based ranking of visual instances: feasibility study for keypoints
Plus 25 other papers.