Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching

Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi. Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching. In Ajith Abraham, Aboul Ella Hassanien, André Carlos Ponce Leon Ferreira de Carvalho, editors, Foundations of Computational Intelligence - Volume 4: Bio-Inspired Data Mining. Volume 204 of Studies in Computational Intelligence, pages 355-375, Springer, 2009. [doi]

@incollection{WatchareeruetaiMTKO09,
  title = {Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching},
  author = {Ukrit Watchareeruetai and Tetsuya Matsumoto and Yoshinori Takeuchi and Hiroaki Kudo and Noboru Ohnishi},
  year = {2009},
  doi = {10.1007/978-3-642-01088-0_15},
  url = {http://dx.doi.org/10.1007/978-3-642-01088-0_15},
  tags = {object-oriented programming, caching, programming, genetic programming, feature-oriented programming},
  researchr = {https://researchr.org/publication/WatchareeruetaiMTKO09},
  cites = {0},
  citedby = {0},
  pages = {355-375},
  booktitle = {Foundations of Computational Intelligence - Volume 4: Bio-Inspired Data Mining},
  editor = {Ajith Abraham and Aboul Ella Hassanien and André Carlos Ponce Leon Ferreira de Carvalho},
  volume = {204},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-642-01087-3},
}