Machine Learning Techniques for Multimedia : Case Studies on Organization and Retrieval
Publication year: 2008
ISBN: 978-3-540-75171-7
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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 .
Subject: Computer Science, Dimensionsreduktion, biometrics, classification, clustering, cognition, database, decision theory, learning, machine learning, multimedia, pattern recognition, performance, supervised learning, unsupervised learning, video, Artificial Intelligence, Information Storage and Retrieval, User Interfaces and Human Computer Interaction, Data Mining and Knowledge Discovery Natural Language Processing (NLP), Computer Imaging, Vision, Pattern Recognition and Graphics
