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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ma, Yunqian (Editor ), Guo, Guodong (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Signal processing.
Computer networks .
Dynamics.
Nonlinear theories.
Computational intelligence.
Computer engineering.
Telecommunication.
Signal, Speech and Image Processing .
Computer Communication Networks.
Applied Dynamical Systems.
Computational Intelligence.
Computer Engineering and Networks.
Communications Engineering, Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares