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Haitao Zhao / Xianyi Zhang / Henry Leung / Zhihui Lai
Feature Learning and Understanding
- Springer International Publishing
- 2020
- Gebunden
- 308 Seiten
- ISBN 9783030407933
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
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