Object Categorization in Context Based on Probabilistic Learning of Classification Tree with Boosted Features and Co-occurrence Structure

Masayasu Atsumi. Object Categorization in Context Based on Probabilistic Learning of Classification Tree with Boosted Features and Co-occurrence Structure. In George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor B. Zordan, James T. Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz, editors, Advances in Visual Computing - 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part I. Volume 8033 of Lecture Notes in Computer Science, pages 416-426, Springer, 2013. [doi]

@inproceedings{Atsumi13,
  title = {Object Categorization in Context Based on Probabilistic Learning of Classification Tree with Boosted Features and Co-occurrence Structure},
  author = {Masayasu Atsumi},
  year = {2013},
  doi = {10.1007/978-3-642-41914-0_41},
  url = {http://dx.doi.org/10.1007/978-3-642-41914-0_41},
  researchr = {https://researchr.org/publication/Atsumi13},
  cites = {0},
  citedby = {0},
  pages = {416-426},
  booktitle = {Advances in Visual Computing - 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part I},
  editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Baoxin Li and Fatih Porikli and Victor B. Zordan and James T. Klosowski and Sabine Coquillart and Xun Luo and Min Chen and David Gotz},
  volume = {8033},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-41913-3},
}