PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination

Mathieu Lefort, Alexander Gepperth. PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination. In 2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014. pages 2718-2725, IEEE, 2014. [doi]

@inproceedings{LefortG14-0,
  title = {PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination},
  author = {Mathieu Lefort and Alexander Gepperth},
  year = {2014},
  doi = {10.1109/IJCNN.2014.6889904},
  url = {http://dx.doi.org/10.1109/IJCNN.2014.6889904},
  researchr = {https://researchr.org/publication/LefortG14-0},
  cites = {0},
  citedby = {0},
  pages = {2718-2725},
  booktitle = {2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014},
  publisher = {IEEE},
}