Hideaki Ishibashi, Kazushi Higa, Tetsuo Furukawa. Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient Samples. In Long Cheng 0001, Andrew Chi-Sing Leung, Seiichi Ozawa, editors, Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III. Volume 11303 of Lecture Notes in Computer Science, pages 388-398, Springer, 2018. [doi]
@inproceedings{IshibashiHF18,
title = {Multi-task Manifold Learning Using Hierarchical Modeling for Insufficient Samples},
author = {Hideaki Ishibashi and Kazushi Higa and Tetsuo Furukawa},
year = {2018},
doi = {10.1007/978-3-030-04182-3_34},
url = {https://doi.org/10.1007/978-3-030-04182-3_34},
researchr = {https://researchr.org/publication/IshibashiHF18},
cites = {0},
citedby = {0},
pages = {388-398},
booktitle = {Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III},
editor = {Long Cheng 0001 and Andrew Chi-Sing Leung and Seiichi Ozawa},
volume = {11303},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-04182-3},
}