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Foundations Of Largescale Multimedia Information Management And Retrieval Mathematics Of Perception 1st Edition Edward Y Chang Auth

  • SKU: BELL-2452312
Foundations Of Largescale Multimedia Information Management And Retrieval Mathematics Of Perception 1st Edition Edward Y Chang Auth
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Foundations Of Largescale Multimedia Information Management And Retrieval Mathematics Of Perception 1st Edition Edward Y Chang Auth instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 6.86 MB
Pages: 291
Author: Edward Y. Chang (auth.)
ISBN: 9783642204289, 3642204287
Language: English
Year: 2011
Edition: 1

Product desciption

Foundations Of Largescale Multimedia Information Management And Retrieval Mathematics Of Perception 1st Edition Edward Y Chang Auth by Edward Y. Chang (auth.) 9783642204289, 3642204287 instant download after payment.

"Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception"covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions.

The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, Machine Learning, Large-scale Data Mining, Database, and Multimedia Information Retrieval.

Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.

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