Search Techniques in Intelligent Classification Systems

A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Savchenko, Andrey V. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:SpringerBriefs in Optimization,
Temas:
Mathematical optimization.
Pattern recognition systems.
Machinery.
System theory.
Control theory.
Potential theory (Mathematics).
Optimization.
Automated Pattern Recognition.
Machinery and Machine Elements.
Systems Theory, Control .
Complex Systems.
Potential Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1.Intelligent Classification Systems
  • 2. Statistical Classification of Audiovisual Data
  • 3. Hierarchical Intelligent Classification Systems
  • 4. Approximate Nearest Neighbor Search in Intelligent Classification Systems
  • 5. Search in Voice Control Systems
  • 6. Conclusion. .

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