Feature Learning and Understanding: Algorithms and Applications

by Xinping Huang and Haitao Zhao

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...

• Format: Paperback
• Language: English
• ISBN: 3030407969
• ISBN13: 9783030407964
• Release Date: April 2021
• Publisher: Springer
• Length: 291 Pages
• Weight: 0.96 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"