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Support Vector Machines Applications

Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine l...

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Bibliographic Details
Other Authors: Ma, Yunqian (Editor), Guo, Guodong (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2014, 2014
Edition:1st ed. 2014
Subjects:
Signal, Image And Speech Processing
Complexity
Communications Engineering, Networks
Computational Intelligence
Image Processing
Electrical Engineering
Computer Communication Systems
Computer Organization
Computational Complexity
Speech Processing Systems
Computer Communication Networks
Signal Processing
Computer Systems Organization And Communication Networks
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary:Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances
Physical Description:VII, 302 p. 87 illus., 56 illus. in color online resource
ISBN:9783319023007

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