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Learning-Based Local Visual Representation and Indexing: Computer Science Reviews and Trends

Autor Rongrong Ji, Yue Gao, Ling-Yu Duan, Hongxun Yao, Qionghai Dai
en Limba Engleză Paperback – 23 mar 2015
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.
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Specificații

ISBN-13: 9780128024096
ISBN-10: 0128024097
Pagini: 128
Dimensiuni: 152 x 229 x 8 mm
Greutate: 0.2 kg
Editura: ELSEVIER SCIENCE
Seria Computer Science Reviews and Trends


Cuprins

Chapter 1 IntroductionChapter 2 Context-aware semi-local feature detectorChapter 3 Unsupervised vocabulary optimizationChapter 4 Supervised vocabulary learningChapter 5 3D Visual Descriptor Learning