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Proceedings

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods

February 4-6, 2021

ISBN: 978-989-758-486-2

ISSN: 2184-4313

DOI: 10.5220/0000145400002864

Conference Link: http://www.icpram.org

Foreword: This book includes the papers accepted for presentation at the 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021). The conference is sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and is endorsed by the International Association for Pattern Recognition (IAPR). ICPRAM 2021 is organized “in cooperation” with the ACM Special Interest Group on Artificial Intelligence (ACM SIGAI), the International Neural Network Society (INNS), the Association for the Advancement of Artificial Intelligence (AAAI), the Italian Association for Artificial Intelligence (AI*IA,) and the Associação Portuguesa de Reconhecimento de Padrões (APRP). The first edition of the annual ICPRAM was held in 2012, and since then the conference has aimed at being a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning. Theoretical and application perspectives are both covered, and most of all their powerful interaction. The aim is to provide a common forum, where conference attendees can meet and exchange ideas for their future research activity, and possibly establish new collaborations. Unfortunately, due to the sadly well-known COVID limitations, it will not be possible to run this edition in presence. However, we hope that the accurate technical set-up and the overall conference organization will still allow the participants to enjoy a fruitful and interesting scientific experience. ICPRAM 2021 received 97 submissions from 30 countries, which were peer reviewed by at least 2 highly qualified reviewers. As result of the reviewing process, 21 submissions were selected for oral presentation as full papers, 29 submissions for oral presentation as short papers, and 25 submissions for poster presentation. The obtained Technical Program includes a noticeable variety of topics, and we hope that conference attendees will appreciate it. To acknowledge the value of the best contributions presented at ICPRAM 2021, the conference organization set up four awards to be given during the conference: the Best Scientific Paper Award, the Best Student Paper Award, the Best Industrial Paper Award and the Best Poster Presentation Award. The works nominated for the first three awards are selected ICPRAM 2021 full papers. The winning papers will be chosen by the Program/Conference Chairs based on the combination of two elements: the best combined review marks, assessed by the Program Committee, and the paper presentation quality, assessed by Session Chairs at the conference venue. The Best Poster Presentation Award will be given to the most appealing poster. Besides the accepted contributions, as a further matter of interest and scientific growth, the conference program also includes three invited talks by internationally distinguished speakers, namely: “Biases, Discrimination, and Fairness in Biometrics and Beyond” by Julian Fierrez (Universidad Autonoma de Madrid, Spain), “3D Motion Analysis with Event-based Sensors” by Cornelia Fermüller (University of Maryland, United States), and “The Principle of Least Cognitive Action in Vision” by Marco Gori (University of Siena, Italy). Finally, we take the opportunity to thank the authors, the Local Chair Walter G. Kropatsch, all the members of the Program Committee and the additional reviewers, the invited speakers and all members of the INSTICC team whose collaboration has been fundamental for the success of this conference. We hope to meet you again next year for the 11th edition of ICPRAM, details of which will soon be available at the website. (More)

Volumes:

Vol. 1 - 978-989-758-486-2

Show papers

P. 25 - 35
DOI:10.5220/0010193700250035

P. 143 - 149
DOI:10.5220/0010180301430149

P. 212 - 221
DOI:10.5220/0010229402120221

P. 268 - 274
DOI:10.5220/0010249702680274

P. 275 - 278
DOI:10.5220/0010252002750278

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