This book includes the papers accepted for presentation at the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valletta, Malta, February 22-24, 2020. 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 2020 is organized “in cooperation” with the ACM Special Interest Group on Artificial Intelligence (ACM SIGAI), the European Association for Signal Processing (EURASIP), the Italian Association for Artificial Intelligence (AI*IA) and the Associação Portuguesa de Reconhecimento de Padrões (APRP). ICPRAM is an annual conference and since its first edition, held in 2012, has been a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods 2020 / DE MARSICO, Maria; Sanniti di Baja, Gabriella; Fred, Ana. - (2020).
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods 2020
Maria De Marsico;
2020
Abstract
This book includes the papers accepted for presentation at the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valletta, Malta, February 22-24, 2020. 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 2020 is organized “in cooperation” with the ACM Special Interest Group on Artificial Intelligence (ACM SIGAI), the European Association for Signal Processing (EURASIP), the Italian Association for Artificial Intelligence (AI*IA) and the Associação Portuguesa de Reconhecimento de Padrões (APRP). ICPRAM is an annual conference and since its first edition, held in 2012, has been a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
