Machine Learning for Audio, Image and Video Analysis Theory and Applications /

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This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Camastra, Francesco (Autor), Vinciarelli, Alessandro (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2015.
Edición:2nd ed. 2015.
Colección:Advanced Information and Knowledge Processing,
Temas:
Pattern recognition systems.
Computer vision.
Multimedia systems.
Automated Pattern Recognition.
Computer Vision.
Multimedia Information Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Part I: From Perception to Computation
  • Audio Acquisition, Representation and Storage
  • Image and Video Acquisition, Representation and Storage
  • Part II: Machine Learning
  • Machine Learning
  • Bayesian Theory of Decision
  • Clustering Methods
  • Foundations of Statistical Learning and Model Selection
  • Supervised Neural Networks and Ensemble Methods
  • Kernel Methods
  • Markovian Models for Sequential Data
  • Feature Extraction Methods and Manifold Learning Methods
  • Part III: Applications
  • Speech and Handwriting Recognition
  • Speech and Handwriting Recognition
  • Video Segmentation and Keyframe Extraction
  • Real-Time Hand Pose Recognition
  • Automatic Personality Perception
  • Part IV: Appendices
  • Appendix A: Statistics
  • Appendix B: Signal Processing
  • Appendix C: Matrix Algebra
  • Appendix D: Mathematical Foundations of Kernel Methods
  • Index.

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