Hierarchical feature construction for image classification using Genetic Programming

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

@InProceedings{Suganuma:2016:SMC,

• 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 methods.",
• 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

Citations