Evolutionary Synthesis of Pattern Recognition Systems

• Κύριοι συγγραφείς: Bhanu, Bir (Συγγραφέας), Lin, Yingqiang (Συγγραφέας), Krawiec, Krzysztof (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2005.
• Σειρά: Monographs in Computer Science,
• Θέματα: Computer science.; Computers.; User interfaces (Computer systems).; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Pattern Recognition.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; User Interfaces and Human Computer Interaction.; Computation by Abstract Devices.

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...

Πίνακας περιεχομένων:

• 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.