- author = "Mengjie Zhang and Urvesh Bhowan and Bunna Ny",
- title = "Genetic Programming for Object Detection",
- booktitle = "Twenty-first International Conference Image and Vision Computing New Zealand, IVCNZ 2006",
- year = "2006",
- editor = "John Morris and Patrice Delmas",
- pages = "425--430",
- address = "Great Barrier Island, New Zealand",
- month = nov # " 27-29",
- keywords = "genetic algorithms, genetic programming, Artificial Intelligence approaches to Computer Vision, Object Recognition, Image Analysis, Neural Networks",
- isbn13 = "9780473117924",
-
URL = "
http://mcs.une.edu.au/~wkwan2/publications/pdf/Proceedings-IVCNZ2006.pdf",
-
URL = "
http://www.worldcat.org/title/proceedings-image-and-vision-computing-new-zealand-2006-great-barrier-island-new-zealand-27th-29th-november-2006/oclc/182549710",
- size = "6 pages",
- abstract = "This paper describes a genetic programming approach to object detection. This approach breaks the GP search into two phases with the first phase applied to a selected subset of the training data, and a simplified fitness function. The second phase is initialised with the programs obtained from the first phase, and uses the full set of training data with a complete fitness function to construct the final detection programs. In addition to the detection rate and false alarm rate, a program size and a false alarm area components are added to the fitness function. The results on two object detection problems suggest that the proposed approach improve the effectiveness and the efficiency of genetic programming.",
-
notes = "http://citr.auckland.ac.nz/ivcnz06/
http://www.citr.auckland.ac.nz/ivcnz06/programme.html
OCLC Number: 182549710",
