Pattern Recognition : 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part II / / edited by Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (439 pages)
• Disciplina: 006.37
• Soggetto topico: Artificial intelligence; Application software; Pattern recognition systems; Artificial Intelligence; Computer and Information Systems Applications; Automated Pattern Recognition
• Persona (resp. second.): LuHuimin
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: artificial intelligence -- computer networks -- computer science -- computer systems -- computer vision -- databases -- education -- engineering -- image analysis -- image processing -- image segmentation -- internet learning -- machine learning -- mathematics -- neural networks -- object recognition -- pattern recognition semantics -- signal processing.
• Sommario/riassunto: This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.
• Titolo autorizzato: Pattern Recognition
• ISBN: 3-031-47637-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910760249903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14407