A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets

Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge. A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets. In Carlo Sansone, Josef Kittler, Fabio Roli, editors, Multiple Classifier Systems - 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings. Volume 6713 of Lecture Notes in Computer Science, pages 126-136, Springer, 2011. [doi]

@inproceedings{PanovTMW11,
  title = {A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets},
  author = {Maxim Panov and Alexander Tatarchuk and Vadim Mottl and David Windridge},
  year = {2011},
  doi = {10.1007/978-3-642-21557-5_15},
  url = {http://dx.doi.org/10.1007/978-3-642-21557-5_15},
  researchr = {https://researchr.org/publication/PanovTMW11},
  cites = {0},
  citedby = {0},
  pages = {126-136},
  booktitle = {Multiple Classifier Systems - 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings},
  editor = {Carlo Sansone and Josef Kittler and Fabio Roli},
  volume = {6713},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-21556-8},
}