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Matrix Factorization for Multimedia Clustering : Models, Techniques, Optimization and Applications
Language: English
Published by The Institution of Engineering and Technology, 2025
ISBN 10: 1837241996 ISBN 13: 9781837241996
Condition: New.
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Matrix Factorization for Multimedia Clustering: Models, techniques, optimization and applications (Computing and Networks)
Language: English
Published by The Institution of Engineering and Technology, 2025
ISBN 10: 1837241996 ISBN 13: 9781837241996
Condition: New.
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Matrix Factorization for Multimedia Clustering : Models, Techniques, Optimization and Applications
Language: English
Published by The Institution of Engineering and Technology, 2026
ISBN 10: 1837241996 ISBN 13: 9781837241996
Condition: As New. Unread book in perfect condition.
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Matrix Factorization for Multimedia Clustering : Models, Techniques, Optimization and Applications
Language: English
Published by The Institution of Engineering and Technology, 2026
ISBN 10: 1837241996 ISBN 13: 9781837241996
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 112.98
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Matrix Factorization for Multimedia Clustering : Models, Techniques, Optimization and Applications
Language: English
Published by The Institution of Engineering and Technology, 2026
ISBN 10: 1837241996 ISBN 13: 9781837241996
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 118.18
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Matrix Factorization for Multimedia Clustering
Language: English
Published by Institution of Engineering and Technology, 2026
ISBN 10: 1837241996 ISBN 13: 9781837241996
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 124.02
£ 9.36 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Matrix Factorization for Multimedia Clustering
Language: English
Published by Institution of Engineering and Technology, 2026
ISBN 10: 1837241996 ISBN 13: 9781837241996
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Matrix Factorization for Multimedia Clustering: Models, Techniques, Optimization and Applications
Language: English
Published by Inst of Engineering & Technology, 2025
ISBN 10: 1837241996 ISBN 13: 9781837241996
Hardcover. Condition: Brand New. 300 pages. 9.21x6.14 inches. In Stock.
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Matrix Factorization for Multimedia Clustering: Models, techniques, optimization and applications
Language: English
Published by Institution of Engineering and Technology, 2026
ISBN 10: 1837241996 ISBN 13: 9781837241996
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 125.49
£ 16.01 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Matrix Factorization for Multimedia Clustering (Hardcover)
Language: English
Published by Institution of Engineering and Technology, Stevenage, 2025
ISBN 10: 1837241996 ISBN 13: 9781837241996
Hardcover. Condition: new. Hardcover. Clustering is a fundamental problem in multimedia information processing. This co-authored book explores clustering principles through advanced data analysis techniques, such as matrix and tensor factorization, which are highly relevant for multimedia information processing. Multimedia data may exhibit various forms of noise represented from multiple perspectives, making traditional clustering approaches less effective. The authors consider complex conditions such as noise sensitivity and discuss methods to address these challenges in the context of multimedia data. They also examine popular regularization techniques, providing theoretical analyses that demonstrate the relationship between regularization and clustering performance.Matrix Factorization for Multimedia Clustering: Models, techniques, optimization and applications will serve as a solid advanced reference for researchers, scientists, engineers and advanced students who wish to implement practical tasks through clustering formulations. Additionally, the authors provide a detailed description of convergence theory to enable readers to conduct the corresponding algorithm analyses. They investigate novel regularization techniques, such as self-paced learning, optimal graph learning, and diversity regularization, to uncover the geometric structure of data. These techniques are beneficial for enhancing clustering performance. Furthermore, they demonstrate the efficiency of these regularization techniques through theoretical analyses, practical experiments and applications in real-world datasets. This book explores clustering principles through advanced data analysis techniques, such as matrix and tensor factorization in multimedia information processing. The authors present methods to address these challenges, examine popular regularization techniques, and explore the relationship between regularization and clustering performance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
