Subspace Methods for Pattern Recognition in Intelligent Environment

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to ext...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Chen, Yen-Wei (Editor ), C. Jain, Lakhmi (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Studies in Computational Intelligence, 552
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Pattern recognition systems.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Active Shape Model and Its Application to Face Alignment
  • Condition Relaxation in Conditional Statistical Shape Models
  •  Independent Component Analysis and Its Application to Classification of High-Resolution Remote Sensing Images
  • Subspace Construction from Artificially Generated Images for Traffic Sign Recognition
  • Local Structure Preserving based Subspace Analysis Methods and Applications
  • Sparse Representation for Image Super-Resolution
  • Sampling and Recovery of Continuously-Defined Sparse Signals and Its Applications
  • Tensor-Based Subspace Learning for Multi-Pose Face Synthesis.

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