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Feature Learning and Understanding : Algorithms and Applications /

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...

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Bibliographic Details
Main Authors: Zhao, Haitao (Author), Lai, Zhihui (Author), Leung, Henry (Author), Zhang, Xianyi (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Information Fusion and Data Science,
Subjects:
Sociophysics.
Econophysics.
Machine learning.
Computational intelligence.
Pattern recognition.
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Data-driven Science, Modeling and Theory Building.
Machine Learning.
Computational Intelligence.
Pattern Recognition.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Electronic books.
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Call Number: QC1-999
 
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