Pattern recognition applications and methods : 9th international conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (editors)

• Pubblicazione: Cham, Switzerland : , : Springer, , [2020]; ©2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XI, 139 p. 46 illus., 41 illus. in color.)
• Disciplina: 006.4
• Soggetto topico: Pattern perception
• Persona (resp. second.): De MarsicoMaria; Sanniti di BajaGabriella; FredAna
• Nota di contenuto: End to End Deep Neural Network Classifier Design for Universal Sign Recognition -- MaskADNet: MOTS based on ADNet -- Dimensionality Reduction and Attention Mechanisms for Extracting -- Efficient Radial Distortion Correction for Planar Motion -- Comparison of algorithms for Tree-top detection in Drone image mosaics of Japanese Mixed Forests -- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning -- Encoding of Indefinite Proximity Data: A Structure Preserving Perspective.
• Sommario/riassunto: This book contains revised and extended versions of selected papers from the 9th International Conference on Pattern Recognition, ICPRAM 2020, held in Valletta, Malta, in February 2020. The 7 full papers presented were carefully reviewed and selected from 102 initial submissions. The papers describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and theoretical studies yielding new insights that advance pattern recognition methods are especially encouraged.
• Titolo autorizzato: Pattern Recognition Applications and Methods
• ISBN: 3-030-66125-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996418314303316
• Lo trovi qui: Univ. di Salerno
• Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 12594