ML Anthology

Learning Deep-Sea Substrate Types with Visual Topic Models

Arnold Kalmbach, Maia Hoeberechts, Alexandra Branzan Albu, Hervé Glotin, Sébastien Paris, Yogesh A. Girdhar
WACV 2016 pp. 1-9
doi:10.1109/WACV.2016.7477600 /wacv/2016/kalmbach2016wacv-learning/
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Cite

Text

Kalmbach et al. "Learning Deep-Sea Substrate Types with Visual Topic Models." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016. doi:10.1109/WACV.2016.7477600

Markdown

[Kalmbach et al. "Learning Deep-Sea Substrate Types with Visual Topic Models." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016.](https://mlanthology.org/wacv/2016/kalmbach2016wacv-learning/) doi:10.1109/WACV.2016.7477600

BibTeX

@inproceedings{kalmbach2016wacv-learning,
  title     = {{Learning Deep-Sea Substrate Types with Visual Topic Models}},
  author    = {Kalmbach, Arnold and Hoeberechts, Maia and Albu, Alexandra Branzan and Glotin, Hervé and Paris, Sébastien and Girdhar, Yogesh A.},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2016},
  pages     = {1-9},
  doi       = {10.1109/WACV.2016.7477600},
  url       = {https://mlanthology.org/wacv/2016/kalmbach2016wacv-learning/}
}