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Foundations of large-scale multimedia information management and retrieval : mathematics of perception

Author: Edward Y Chang
Publisher: Berlin ; New York : Springer ; Beijing : Tsinghua University Press, ©2011.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Edward Y Chang
ISBN: 9783642204296 3642204295
OCLC Number: 755081026
Description: 1 online resource (xviii, 291 pages) : illustrations (chiefly color)
Contents: Part I --
Knowledge Representation and Semantic Analysis --
1. Mathematics of Perception --
2. Supervised Learning (based on tutorial DASFAA 2003) --
3. Query Concept Learning (based on IEEE TMM 2005) --
4. Feature Extraction --
5. Feature Reduction (based on MM 04, ICME 05, IPAM) --
6. Similarity (based on MMJ 2002, CIKM 04, ICML 05) --
Part II --
Scalability Issues --
7. Imbalanced Data Learning (based on TKDE 2005) --
8. Semantics Fusion (based on MM 04, MM05, KDD 08) --
9. Kernel Machines Speedup (based on SDM 05, KDD 06, NIPS 07) --
10. Kernel Indexing (based on TKDE 06) --
11. Put It All Together (based on SPIE 06).
Responsibility: Edward Y. Chang.

Abstract:

Authored by Google research director Dr. Edward Chang, this book has the inside track on a fast-moving sector. Covering knowledge representation, semantic analysis, and scalability issues in one  Read more...

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   schema:description ""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."@en ;
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