Feature learning and understanding : algorithms and applications / Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang.
2020
Q325.5
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Online Access
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Feature learning and understanding : algorithms and applications / Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang.
ISBN
9783030407940 (electronic book)
3030407942 (electronic book)
3030407934
9783030407933
3030407942 (electronic book)
3030407934
9783030407933
Publication Details
Cham : Springer, 2020.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-40
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Series
Information Fusion and Data Science.
Available in Other Form
Feature learning and understanding.
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Online Access
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