Cartesian Genetic Programming for Image Processing

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

@InCollection{Harding:2012:GPTP,

• author = "Simon Harding and Juergen Leitner and Juergen Schmidhuber",
• title = "Cartesian Genetic Programming for Image Processing",
• booktitle = "Genetic Programming Theory and Practice X",
• year = "2012",
• series = "Genetic and Evolutionary Computation",
• editor = "Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore",
• publisher = "Springer",
• chapter = "3",
• pages = "31--44",
• address = "Ann Arbor, USA",
• month = "12-14 " # may,
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, Image processing, Object detection",
• isbn13 = "978-1-4614-6845-5",
• URL = "http://dx.doi.org/10.1007/978-1-4614-6846-2_3",
• DOI = "doi:10.1007/978-1-4614-6846-2_3",
• abstract = "Combining domain knowledge about both imaging processing and machine learning techniques can expand the abilities of Genetic Programming when used for image processing. We successfully demonstrate our new approach on several different problem domains. We show that the approach is fast, scalable and robust. In addition, by virtue of using off-the-shelf image processing libraries we can generate human readable programs that incorporate sophisticated domain knowledge.",
• notes = "part of \cite{Riolo:2012:GPTP} published after the workshop in 2013",

}

Genetic Programming entries for Simon Harding Juergen Leitner Jurgen Schmidhuber

Citations