ML Anthology

Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis

Amir M. Rahimi, Soheil Kolouri, Rajan Bhattacharyya
CVPRW 2017 pp. 139-146
doi:10.1109/CVPRW.2017.23 /cvprw/2017/rahimi2017cvprw-automatic/
CVPRW Semantic Scholar

Cite

Text

Rahimi et al. "Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017. doi:10.1109/CVPRW.2017.23

Markdown

[Rahimi et al. "Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017.](https://mlanthology.org/cvprw/2017/rahimi2017cvprw-automatic/) doi:10.1109/CVPRW.2017.23

BibTeX

@inproceedings{rahimi2017cvprw-automatic,
  title     = {{Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis}},
  author    = {Rahimi, Amir M. and Kolouri, Soheil and Bhattacharyya, Rajan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2017},
  pages     = {139-146},
  doi       = {10.1109/CVPRW.2017.23},
  url       = {https://mlanthology.org/cvprw/2017/rahimi2017cvprw-automatic/}
}