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Integrates computer vision, pattern recognition, and AI.
Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology…mehr

Produktbeschreibung
Integrates computer vision, pattern recognition, and AI.

Presents original research that will benefit researchers and professionals in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data mining, cybernetics, robotics, automation and psychology
  • Produktdetails
  • Monographs in Computer Science
  • Verlag: Springer, Berlin
  • Erscheinungstermin: November 2004
  • Englisch
  • Abmessung: 242mm x 165mm x 23mm
  • Gewicht: 645g
  • ISBN-13: 9780387212951
  • ISBN-10: 0387212957
  • Artikelnr.: 13905622
Autorenporträt
Bir Bhanu, University of California, Riverside, CA, USA / Yingqiang Lin, University of California, Riverside, CA, USA / Krzysztof Krawiec, University of California, Riverside, CA, USA
Inhaltsangabe
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.