Feature Learning and Understanding: Algorithms and Applications free ebook download.

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Feature Learning and Understanding: Algorithms and Applications free ebook download

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Mathematics

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Catalogue

Author(s):	Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang

Date:	2020-05-07	Format:	pdf	Language:	English	ISBN/ASIN:	3030407934
Pages:	291	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	4/4/2020 10:39:28 AM

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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.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2743832	Book	https://nitroflare.com/view/C018CB3C1782...		9.96	maveriks

Tags: Algorithms Applications Feature Learning Understanding

Title	Link	Password	Size	Reason

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