Support Vector Machines Applications
tarafından
 
Ma, Yunqian. editor.

Başlık
Support Vector Machines Applications

Yazar
Ma, Yunqian. editor.

ISBN
9783319023007

Fiziksel Niteleme
VII, 302 p. 87 illus., 56 illus. in color. online resource.

İçindekiler
Augmented-SVM for gradient observations with application to learning multiple-attractor dynamics -- Multi-class Support Vector Machine -- Novel Inductive and Transductive Transfer Learning Approaches Based on Support Vector Learning -- Security Evaluation of Support Vector Machines in Adversarial Environments -- Application of SVMs to the Bag-of-features Model— A Kernel Perspective -- Support Vector Machines for Neuroimage Analysis: Interpretation from Discrimination -- Kernel Machines for Imbalanced Data Problem and the Use in Biomedical Applications -- Soft Biometrics from Face Images using Support Vector Machines.

Özet
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.

Konu Başlığı
Engineering.
 
Computer organization.
 
Computer communication systems.
 
Computational intelligence.
 
Complexity, Computational.
 
Electrical engineering.
 
Signal, Image and Speech Processing.
 
Computer Communication Networks.
 
Complexity.
 
Computer Systems Organization and Communication Networks.
 
Communications Engineering, Networks.

Yazar Ek Girişi
Ma, Yunqian.
 
Guo, Guodong.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-3-319-02300-7


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book20191-1001TK5102.9Springer E-Book Collection