|
![]() |
|||
|
||||
OverviewLearning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. Discusses state-of-the-art procedures in learning-based local visual representation.Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing systemProvides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation. Full Product DetailsAuthor: Rongrong Ji , Yue Gao , Ling-Yu DuanPublisher: Elsevier Science Imprint: Elsevier Science ISBN: 9780128026205ISBN 10: 0128026200 Pages: 128 Publication Date: 01 January 2015 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |