Machine Learning for Multimedia Content Analysis

Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image coll...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gong, Yihong (Autor), Xu, Wei (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Multimedia Systems and Applications, 30
Temas:
Multimedia systems.
Artificial intelligence.
Application software.
Information storage and retrieval systems.
Database management.
Computer graphics.
Multimedia Information Systems.
Artificial Intelligence.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Database Management.
Computer Graphics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Unsupervised Learning
  • Dimension Reduction
  • Data Clustering Techniques
  • Generative Graphical Models
  • of Graphical Models
  • Markov Chains and Monte Carlo Simulation
  • Markov Random Fields and Gibbs Sampling
  • Hidden Markov Models
  • Inference and Learning for General Graphical Models
  • Discriminative Graphical Models
  • Maximum Entropy Model and Conditional Random Field
  • Max-Margin Classifications.

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