Progress in pattern recognition, image analysis, computer vision, and applications : 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised selected papers /

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Bibliographic Details
Meeting name:	Iberoamerican Congress on Pattern Recognition (25th : 2021 : Online)
Imprint:	Cham, Switzerland : Springer, 2021.
Description:	1 online resource (xv, 490 pages) : illustrations (some color).
Language:	English
Series:	Lecture notes in computer science ; 12702 LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics Lecture notes in computer science ; 12702. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Subject:	Pattern recognition systems -- Congresses. Optical pattern recognition -- Congresses. Computer vision -- Congresses. Image processing -- Digital techniques -- Congresses. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12942951

Hidden Bibliographic Details
Varying Form of Title:	CIARP 2021
Other authors / contributors:	Tavares, João Manuel R. S., editor. Papa, João Paulo, editor. González Hidalgo, Manuel, editor.
ISBN:	9783030934200 3030934209 9783030934194 3030934195
Digital file characteristics:	text file PDF
Notes:	"The conference was held during May 10-13, 2021, in a virtual format [...]." -- Preface. Includes author index. Online resource; title from PDF title page (SpringerLink, viewed January 26, 2022).
Summary:	This book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10-13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision.
Other form:	Printed edition: 9783030934194 Printed edition: 9783030934217
Standard no.:	10.1007/978-3-030-93420-0

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