Enlarging the discriminability of bag-of-words representations with deep convolutional features

Daniel Manger, Dieter Willersinn. Enlarging the discriminability of bag-of-words representations with deep convolutional features. In Seventh International Conference on Image Processing Theory, Tools and Applications, IPTA 2017, Montreal, QC, Canada, November 28 - December 1, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{MangerW17,
  title = {Enlarging the discriminability of bag-of-words representations with deep convolutional features},
  author = {Daniel Manger and Dieter Willersinn},
  year = {2017},
  doi = {10.1109/IPTA.2017.8310096},
  url = {https://doi.org/10.1109/IPTA.2017.8310096},
  researchr = {https://researchr.org/publication/MangerW17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {Seventh International Conference on Image Processing Theory, Tools and Applications, IPTA 2017, Montreal, QC, Canada, November 28 - December 1, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1842-4},
}