Hierarchical feature construction for image classification using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Masanori Suganuma and Daiki Tsuchiya and 
                 Shinichi Shirakawa and Tomoharu Nagao",
  booktitle =    "2016 IEEE International Conference on Systems, Man,
                 and Cybernetics (SMC)",
  title =        "Hierarchical feature construction for image
                 classification using Genetic Programming",
  year =         "2016",
  pages =        "001423--001428",
  abstract =     "In this paper, we design a hierarchical feature
                 construction method for image classification. Our
                 method has two feature construction stages: (1) feature
                 construction by a combination of primitive image
                 processing filters, and (2) feature construction by
                 evolved filters. We verify the image classification
                 performance of the proposed method on the MIT urban and
                 nature scene dataset. The experimental results show
                 that the two-stage feature construction improves the
                 classification accuracy compared to single stage
                 feature construction. In addition, the proposed method
                 outperforms several existing feature construction
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/SMC.2016.7844436",
  month =        oct,
  notes =        "Also known as \cite{7844436}",

Genetic Programming entries for Masanori Suganuma Daiki Tsuchiya Shinichi Shirakawa Tomoharu Nagao