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Pattern Recognition [[electronic resource] ] : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings / / edited by Michael Cree, Fay Huang, Junsong Yuan, Wei Qi Yan



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Titolo: Pattern Recognition [[electronic resource] ] : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings / / edited by Michael Cree, Fay Huang, Junsong Yuan, Wei Qi Yan Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XIII, 278 p. 133 illus., 109 illus. in color.)
Disciplina: 006.4
Soggetto topico: Pattern recognition
Computers
Computer organization
Machine learning
Optical data processing
Application software
Pattern Recognition
Information Systems and Communication Service
Computer Systems Organization and Communication Networks
Machine Learning
Image Processing and Computer Vision
Computer Applications
Persona (resp. second.): CreeMichael
HuangFay
YuanJunsong
YanWei Qi
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Computer Vision for Modern Vehicles -- Advances and Applications on Generative Deep Learning Models -- Image and Pattern Analysis for Multidisciplinary Computational Anatomy -- Multi-Sensor for Action and Gesture Recognition -- Towards an Automatic Data Processing Chain for Airborne and Spaceborne Sensors. .
Sommario/riassunto: This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors. .
Titolo autorizzato: Pattern Recognition  Visualizza cluster
ISBN: 981-15-3651-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910410035303321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 1180