Temporal Dropout of Changes Approach to Convolutional Learning of Spatio-Temporal Features

Dubravko Culibrk, Nicu Sebe. Temporal Dropout of Changes Approach to Convolutional Learning of Spatio-Temporal Features. In Kien A. Hua, Yong Rui, Ralf Steinmetz, Alan Hanjalic, Apostol Natsev, Wenwu Zhu, editors, Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03 - 07, 2014. pages 1201-1204, ACM, 2014. [doi]

@inproceedings{CulibrkS14,
  title = {Temporal Dropout of Changes Approach to Convolutional Learning of Spatio-Temporal Features},
  author = {Dubravko Culibrk and Nicu Sebe},
  year = {2014},
  doi = {10.1145/2647868.2655048},
  url = {http://doi.acm.org/10.1145/2647868.2655048},
  researchr = {https://researchr.org/publication/CulibrkS14},
  cites = {0},
  citedby = {0},
  pages = {1201-1204},
  booktitle = {Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03 - 07, 2014},
  editor = {Kien A. Hua and Yong Rui and Ralf Steinmetz and Alan Hanjalic and Apostol Natsev and Wenwu Zhu},
  publisher = {ACM},
  isbn = {978-1-4503-3063-3},
}