Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. In IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020. pages 46-50, IEEE, 2020. [doi]
@inproceedings{MaedaTOH20,
title = {Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment},
author = {Keisuke Maeda and Sho Takahashi and Takahiro Ogawa and Miki Haseyama},
year = {2020},
doi = {10.1109/ICIP40778.2020.9190866},
url = {https://doi.org/10.1109/ICIP40778.2020.9190866},
researchr = {https://researchr.org/publication/MaedaTOH20},
cites = {0},
citedby = {0},
pages = {46-50},
booktitle = {IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020},
publisher = {IEEE},
isbn = {978-1-7281-6395-6},
}