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Learning-based local visual representation and indexing /

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 rece...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rongrong, Ji (Autor), Yao, Hongxun (Autor), Gao, Yue (Autor), Duan, Ling-Yu (Autor), Dai, Qionghai (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Waltham, MA : Elsevier, 2014.
Edición:First edition.
Temas:
Acceso en línea:Texto completo
Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9780128026205
0128026200
0128024097
9780128024096