From
Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
AbeBooks Seller since January 6, 2003
400 pages. 11.00x8.50x11.00 inches. In Stock. Seller Inventory # x-1799866904
"This book attempts to provide an overview of image analysis based on deep learning methods and their applications, allowing readers to learn and explore the latest advancements, developments, methods, systems, futuristic approaches and algorithms towards image analysis"--
Title: Handbook of Research on Deep Learning-Based ...
Publisher: Engineering Science Reference
Publication Date: 2020
Binding: Hardcover
Condition: Brand New
Seller: dsmbooks, Liverpool, United Kingdom
hardcover. Condition: New. New. book. Seller Inventory # D7S9-1-M-1799866904-5
Quantity: 1 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9781799866909
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781799866909_new
Quantity: Over 20 available
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9781799866909
Quantity: Over 20 available
Seller: moluna, Greven, Germany
Condition: New. Provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. The book highlight concepts, methods, and tools, including convolutional neura. Seller Inventory # 448342868
Quantity: Over 20 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students. Seller Inventory # 9781799866909
Quantity: 1 available