A General Approach to Compute the Relevance of Middle-Level Input Features

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete. A General Approach to Compute the Relevance of Middle-Level Input Features. In Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei 0001, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani, editors, Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III. Volume 12663 of Lecture Notes in Computer Science, pages 189-203, Springer, 2020. [doi]

@inproceedings{ApicellaGIP20,
  title = {A General Approach to Compute the Relevance of Middle-Level Input Features},
  author = {Andrea Apicella and Salvatore Giugliano and Francesco Isgrò and Roberto Prevete},
  year = {2020},
  doi = {10.1007/978-3-030-68796-0_14},
  url = {https://doi.org/10.1007/978-3-030-68796-0_14},
  researchr = {https://researchr.org/publication/ApicellaGIP20},
  cites = {0},
  citedby = {0},
  pages = {189-203},
  booktitle = {Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part III},
  editor = {Alberto Del Bimbo and Rita Cucchiara and Stan Sclaroff and Giovanni Maria Farinella and Tao Mei 0001 and Marco Bertini and Hugo Jair Escalante and Roberto Vezzani},
  volume = {12663},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-68796-0},
}