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Learning-based local visual representation and indexing / by Rongrong Ji [and four others].

Contributor(s): Material type: TextTextPublisher: Amsterdam, [Netherlands] : Elsevier, 2015Copyright date: ©2015Description: 1 online resource (128 pages) : illustrations, tablesContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780128026205 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Learning-based local visual representation and indexing.DDC classification:
  • 006.37 23
LOC classification:
  • TA1634 .L437 2015
Online resources:
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBERA1000794
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBRA1000794
Ebrary Online Books Ebrary Online Books Kandy Available KDEBRA1000794
Total holds: 0

Enhanced descriptions from Syndetics:

Learning-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 system Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.

"Machine Learning"--Cover.

"Reviews and Trends"--Cover.

"Computer Science"--Cover.

Includes bibliographical references.

Description based on online resource; title from PDF title page (ebrary, viewed April 27, 2015).

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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