Experiments with Genetic Programming for Active Vision Tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Misc{oai:CiteSeerPSU:160647,

• title = "Experiments with Genetic Programming for Active Vision Tasks",
• author = "Jay F. Winkeler and B. S. Manjunath",
• howpublished = "CiteSeer",
• year = "1997",
• keywords = "genetic algorithms, genetic programming",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:160647",
• rights = "unrestricted",
• URL = "http://citeseer.ist.psu.edu/cache/papers/cs/1845/http:zSzzSzvivaldi.ece.ucsb.eduzSzuserszSzjayzSzPAPERSzSzucsb_97_19.pdf/experiments-with-genetic-programming.pdf",
• URL = "http://citeseer.ist.psu.edu/160647.html",
• size = "16 pages",
• abstract = "This paper examines genetic programming as a machine learning technique for active vision. Genetic programming can be used as a reinforcement learning technique to learn solutions to complex problems based solely on performance at the overall task. Solutions for camera calibration and target tracking are learned by this method. The camera calibration solutions are marginally better than second order least-squares approximations. A solution to the task of tracking a moving target is learned without requiring camera calibration or motion detection to be solved separately. The human effort required to achieve these solutions remains nearly constant despite the increasing difficulty of the tasks.",

}

Genetic Programming entries for Jay F Winkeler B S Manjunath

Citations