Feature Learning and Understanding: Algorithms and Applications (Information Fusion and Data Science)
by Haitao Zhao, Zhihui Lai, Henry Leung and Xianyi Zhang
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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.
The book, Feature Learning and Understanding: Algorithms and Applications (Information Fusion and Data Science) [Bulk, Wholesale, Quantity] ISBN#9783030407933 in Hardcover by Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer International Publishing
- Authors
- Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang
- Format
- Hardcover
- Published
- Apr 4, 2020
- ISBN-13
- 9783030407933
- Pages
- 291
- Printing
- Printed on demand
Feature Learning and Understanding in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $140.79 | 12% off list |
| 50 – 99 | $139.19 | 13% off list |
| 100+ | $137.59 | 14% off list |
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