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Advances in Computer Vision

Proceedings of the 2019 Computer Vision Conference (CVC), Volume 2
Verkaufsrang5080inTechnik
HardcoverKartoniert, Paperback
767 Seiten
Englisch
Springer, Berlinerschienen am24.04.2019
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HardcoverKartoniert, Paperback
EUR235,39
HardcoverKartoniert, Paperback
EUR213,99
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This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers,...mehr
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Produkt

KlappentextThis book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings.
The book's goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.
Details
ISBN/EAN/Artikel978-3-030-17797-3
ProduktartHardcover
EinbandartKartoniert, Paperback
Jahr2019
Erschienen am24.04.2019
Seiten767 Seiten
SpracheEnglisch
Illustrationen326 SW-Abb., 312 Farbabb.
Artikel-Nr.17569445

Inhalt/Kritik

InhaltsverzeichnisData-Driven Multi-step Demand Prediction for Ride-hailing Services using Convolutional Neural Network.- Proactive Management of Regulatory Policy Ripple Effects Via Computational Hierarchical Change Management Structure.- Iceberg Detection by CNN based on Incidence-Angle Confusion.- The Effectiveness of Distinctive Information for Cancer Cell Analysis through Big Data.- Forecasting Food Sales in a Multiplex using Dynamic Artificial Neural Networks....mehr

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