Learning-Based Local Visual Representation and Indexing: Computer Science Reviews and Trends
Autor Rongrong Ji, Yue Gao, Ling-Yu Duan, Hongxun Yao, Qionghai Daien Limba Engleză Paperback – 24 mar 2015
- 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
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