Genetic programming based classifier in Viola-Jones RapidMiner Image Mining Extension

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jan Karasek and Radim Burget and Jan Masek and 
                 Ondrej Benda",
  title =        "Genetic programming based classifier in {Viola-Jones}
                 {RapidMiner} Image Mining Extension",
  booktitle =    "36th International Conference on Telecommunications
                 and Signal Processing (TSP 2013)",
  year =         "2013",
  month =        "2-4 " # jul,
  pages =        "872--876",
  keywords =     "genetic algorithms, genetic programming,
                 Classification Tree, Image Mining Extension, Object
                 Classification, RapidMiner",
  DOI =          "doi:10.1109/TSP.2013.6614064",
  abstract =     "This paper presents a new approach to the classifier
                 design used in the Viola-Jones object detector
                 implemented in Radpid-Miner Image Mining Extension. The
                 new approach to the classifier design proposed in this
                 paper is in fact creation of a classification tree
                 designed by a genetic programming algorithm. The
                 resulting classifier is used as an alternative approach
                 to the standard cascade classifier designed by a
                 genetic algorithm. In this paper, a classifier design
                 is shown, the incorporation into the Viola-Jones
                 operator is described, and experimental results of face
                 classification process are depicted and compared to the
                 standard cascade classifier designed by genetic
  notes =        "Also known as \cite{6614064}",

Genetic Programming entries for Jan Karasek Radim Burget Jan Masek Ondrej Benda