Genetic Programming for Object Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Winkeler:1997:GPod,

• author = "Jay F. Winkeler and B. S. Manjunath",
• title = "Genetic Programming for Object Detection",
• booktitle = "Genetic Programming 1997: Proceedings of the Second Annual Conference",
• editor = "John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo",
• year = "1997",
• month = "13-16 " # jul,
• keywords = "genetic algorithms, genetic programming",
• pages = "330--335",
• address = "Stanford University, CA, USA",
• publisher_address = "San Francisco, CA, USA",
• publisher = "Morgan Kaufmann",
• URL = "http://vision.ece.ucsb.edu/publications/97GP.pdf",
• URL = "http://citeseer.ist.psu.edu/191181.html",
• size = "6 pages",
• abstract = "This paper examines genetic programming as a machine learning technique in the context of object detection. Object detection is performed on image features and on gray-scale images themselves, with different goals. The generality of the solutions discovered, over the training set and over a wider range of images, is tested in both cases. Using genetic programming as a means of testing the utility of algorithms is also explored. Two programs generated using different features are hierarchically combined, improving the results to 1.4percent false negatives on an untrained image, while saving processing.",
• notes = "GP-97",

}

Genetic Programming entries for Jay F Winkeler B S Manjunath

Citations