Learning-Based Local Visual Representation and Indexing e-bog
265,81 DKK
(inkl. moms 332,26 DKK)
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 le...
E-bog
265,81 DKK
Forlag
Morgan Kaufmann
Udgivet
8 april 2015
Længde
128 sider
Genrer
Artificial intelligence
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9780128026205
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.