Evolutionary Synthesis of Pattern Recognition Systems

Designing object detection and recognition systems that work in the real world is a challenging task due to various factors including the high complexity of the systems, the dynamically changing environment of the real world and factors such as occlusion, clutter, articulation, and various noise con...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bhanu, Bir (Autor), Lin, Yingqiang (Autor), Krawiec, Krzysztof (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Monographs in Computer Science,
Temas:
Pattern recognition systems.
Image processing-Digital techniques.
Computer vision.
Artificial intelligence.
User interfaces (Computer systems).
Human-computer interaction.
Computer science.
Automated Pattern Recognition.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Vision.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Theory of Computation.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Feature Synthesis for Object Detection
  • Mdl-Based Efficient Genetic Programming for Object Detection
  • Feature Selection for Object Detection
  • Evolutionary Feature Synthesis for Object Recognition
  • Linear Genetic Programming for Object Recognition
  • Applications of Linear Genetic Programming for Object Recognition
  • Summary and Future Work.

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