Features Selection for the Most Accurate SVM Gender Classifier Based on Geometrical Features

Piotr Milczarski, Zofia Stawska, Shane Dowdall. Features Selection for the Most Accurate SVM Gender Classifier Based on Geometrical Features. In Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II. Volume 10842 of Lecture Notes in Computer Science, pages 191-206, Springer, 2018. [doi]

@inproceedings{MilczarskiSD18,
  title = {Features Selection for the Most Accurate SVM Gender Classifier Based on Geometrical Features},
  author = {Piotr Milczarski and Zofia Stawska and Shane Dowdall},
  year = {2018},
  doi = {10.1007/978-3-319-91262-2_18},
  url = {https://doi.org/10.1007/978-3-319-91262-2_18},
  researchr = {https://researchr.org/publication/MilczarskiSD18},
  cites = {0},
  citedby = {0},
  pages = {191-206},
  booktitle = {Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II},
  editor = {Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M. Zurada},
  volume = {10842},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-91262-2},
}