Learning-Based Local Visual Representation and Indexing

Learning-Based Local Visual Representation and Indexing

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Key Features
  • Format: Paperback
  • Number of Pages: 128 pages
  • Dimensions: 149.86 x 223.52 x 7.62mm
  • Weight: 204.12g
  • Publication date: 06 Apr 2015
  • Publisher: Elsevier Science And Technology
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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.

Key Features
  • Format: Paperback
  • Number of Pages: 128 pages
  • Dimensions: 149.86 x 223.52 x 7.62mm
  • Weight: 204.12g
  • Publication date: 06 Apr 2015
  • Publisher: Elsevier Science And Technology
  • Imprinte: Morgan Kaufmann Publishers In
  • Publication City/Country: San Francisco, United States
  • Language: English
  • ISBN10: 0128024097
  • ISBN13: 9780128024096
Specifications of Learning-Based Local Visual Representation and Indexing
SKU
JU030BKAJAV0NAFAMZ
Model
9780128024096
Author
Yue Gao, Hongxun Yao, Qionghai Dai, Ling-Yu Duan
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