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Machine Learning Techniques for Multimedia

Name: Machine Learning Techniques for Multimedia
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 01569267
Price: 59474 HUF
Availability: InStock
Author: Matthieu Cord
ISBN: 9783540751700

Case Studies on Organization and Retrieval

Matthieu Cord

Pádraig Cunningham

Language

English

Book Hardback

Libristo code: 01569267

Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, February 2008

Processing multimedia content has emerged as a key area for the application of machine learning tech... Full description

Libristo code: 01569267

406 b

59 474 Ft

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Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. §This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music.§This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.