Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications | 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers

Joćo Manuel R. S. Tavares (u. a.)

ISBN 10: 3030934195 / ISBN 13: 9783030934194

Published by Springer, 2022

About this Item

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications | 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers | Joćo Manuel R. S. Tavares (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xv | Englisch | 2022 | Springer | EAN 9783030934194 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 120811196

Bibliographic Details

• Title: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications | 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030934195
• ISBN 13: 9783030934194
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 28D millimeters 235 millimeters width by 155 millimeters height by 28 millimeters depth
• Weight: 762 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.