UGrAD: A graph-theoretic framework for classification of activity with complementary graph boundary detection

Tamal Batabyal, Scott T. Acton, Andrea Vaccari. UGrAD: A graph-theoretic framework for classification of activity with complementary graph boundary detection. In 2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016. pages 1339-1343, IEEE, 2016. [doi]

@inproceedings{BatabyalAV16,
  title = {UGrAD: A graph-theoretic framework for classification of activity with complementary graph boundary detection},
  author = {Tamal Batabyal and Scott T. Acton and Andrea Vaccari},
  year = {2016},
  doi = {10.1109/ICIP.2016.7532576},
  url = {http://dx.doi.org/10.1109/ICIP.2016.7532576},
  researchr = {https://researchr.org/publication/BatabyalAV16},
  cites = {0},
  citedby = {0},
  pages = {1339-1343},
  booktitle = {2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016},
  publisher = {IEEE},
  isbn = {978-1-4673-9961-6},
}