0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R2,500 - R5,000 (2)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Feature Learning and Understanding - Algorithms and Applications (Hardcover, 1st ed. 2020): Haitao Zhao, Zhihui Lai, Henry... Feature Learning and Understanding - Algorithms and Applications (Hardcover, 1st ed. 2020)
Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang
R3,674 Discovery Miles 36 740 Ships in 10 - 15 working days

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.

Feature Learning and Understanding - Algorithms and Applications (Paperback, 1st ed. 2020): Haitao Zhao, Zhihui Lai, Henry... Feature Learning and Understanding - Algorithms and Applications (Paperback, 1st ed. 2020)
Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang
R3,789 Discovery Miles 37 890 Ships in 18 - 22 working days

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Twenty Years After Communism
Michael Bernhard, Jan Kubik Hardcover R3,851 Discovery Miles 38 510
Theoretical Perspectives on…
M.A. Conway, David C. Rubin, … Hardcover R10,629 Discovery Miles 106 290
The Deja Vu Experience - Second Edition
Anne M. Cleary, Alan S. Brown Paperback R1,691 Discovery Miles 16 910
Memory in the Real World
Gillian Cohen, Martin A. Conway Hardcover R4,523 Discovery Miles 45 230
Autobiographical Memory - Remembering…
Charles P. Thompson, John J. Skowronski, … Hardcover R4,501 Discovery Miles 45 010
Associative Illusions of Memory - False…
David Gallo Hardcover R4,507 Discovery Miles 45 070
Working Memory and Ageing
Robert H. Logie, Robin G. Morris Paperback R1,766 Discovery Miles 17 660
Principles of Learning and Memory
Rainer H. Kluwe, Gerd Luer, … Hardcover R1,610 Discovery Miles 16 100
Spaces for the Sacred - Place, Memory…
Philip Sheldrake Paperback R797 Discovery Miles 7 970
Memory Development in Children (PLE…
Peter Ornstein Hardcover R4,506 Discovery Miles 45 060

 

Partners