Evolving object detectors for infrared imagery: a comparison of texture analysis against simple statistics

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{howard:1999:EuroGEN,

• author = "Daniel Howard and Simon C. Roberts",
• title = "Evolving object detectors for infrared imagery: a comparison of texture analysis against simple statistics",
• booktitle = "Evolutionary Algorithms in Engineering and Computer Science",
• year = "1999",
• editor = "Kaisa Miettinen and Marko M. Makela and Pekka Neittaanmaki and Jacques Periaux",
• pages = "79--86",
• address = "Jyvaskyla, Finland",
• publisher_address = "Chichester, UK",
• month = "30 " # may # " - 3 " # jun,
• publisher = "John Wiley \& Sons",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-0-471-99902-7",
• URL = "http://www.mit.jyu.fi/eurogen99/papers/howard.ps",
• notes = "EUROGEN'99 http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471999024.html

  Multi-stage GP terminals based on fourier transforms found to be (marginally?) better than those based on simple stats (mean, standard deviation). Looking for parked cars from 300 feet.",

}

Genetic Programming entries for Daniel Howard Simon C Roberts

Citations