| Content output device, content output method, program, program recording medium, and content output integrated circuit H Iida, I Ohama, S Ohtsubo US Patent 8,732,149, 2014 | 48 | 2014 |
| Display device and method of switching display direction R Kamei, N Matsui, T Matsumoto, S Ohtsubo, I Ohama US Patent 9,507,379, 2016 | 25 | 2016 |
| Multi-viewpoint silhouette extraction with 3D context-aware error detection, correction, and shadow suppression S Nobuhara, Y Tsuda, I Ohama, T Matsuyama IPSJ Transactions on Computer Vision and Applications 1, 242-259, 2009 | 23 | 2009 |
| Anomaly detection method, learning method, anomaly detection device, and learning device T Oba, I Ohama US Patent 10,785,244, 2020 | 12 | 2020 |
| An extension of the infinite relational model incorporating interaction between objects I Ohama, H Iida, T Kida, H Arimura Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013 | 12 | 2013 |
| An extension of gradient boosted decision tree incorporating statistical tests R Sakata, I Ohama, T Taniguchi 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 964-969, 2018 | 9 | 2018 |
| On the model shrinkage effect of gamma process edge partition models I Ohama, I Sato, T Kida, H Arimura Advances in Neural Information Processing Systems 30, 2017 | 7 | 2017 |
| Classification device and classification method I Ohama, T Abe, H Arimura, T Kida US Patent 8,793,204, 2014 | 6 | 2014 |
| Multi-layered framework for modeling relationships between biased objects I Ohama, T Kida, H Arimura Proceedings of the 2015 SIAM International Conference on Data Mining, 819-827, 2015 | 5 | 2015 |
| 多視点画像を用いた誤り検出・訂正機能を持つ高精度対象領域抽出法 大浜郁， 延原章平， 松山隆司 MIRU2006, 688-693, 2006 | 4 | 2006 |
| Discovering Co-Cluster Structure from Relationships between Biased Objects I Ohama, T Kida, H Arimura IEICE TRANSACTIONS on Information and Systems 101 (12), 3108-3122, 2018 | 3 | 2018 |
| Discovering Relevance-Dependent Bicluster Structure from Relational Data. I Ohama, T Kida, H Arimura IJCAI, 2578-2584, 2017 | 3 | 2017 |
| The relevance dependent infinite relational model for discovering co-cluster structure from relationships with structured noise I Ohama, H Iida, T Kida, H Arimura IEICE TRANSACTIONS on Information and Systems 99 (4), 1139-1152, 2016 | 3 | 2016 |
| Co-clustering apparatus, co-clustering method, recording medium, and integrated circuit I Ohama US Patent App. 14/054,890, 2014 | 3 | 2014 |
| Method for estimating use state of power of electric devices Y Shoda, I Ohama, R Fujimura, H Umetani US Patent App. 15/251,794, 2017 | 2 | 2017 |
| Evaluation result display method, evaluation result display apparatus, and non-transitory computer-readable recording medium storing evaluation result display program H Umetani, I Ohama, R Fujimura US Patent 11,093,517, 2021 | 1 | 2021 |
| Discovering Relevance-Dependent Bicluster Structure from Relational Data: A Model and Algorithm I Ohama, T Kida, H Arimura Transactions of the Japanese Society for Artificial Intelligence 33 (6), B …, 2018 | 1 | 2018 |
| A machine learning approach for lighting perception analysis via crowdsourcing Y Minoda, I Ohama, E Muramoto Adjunct Proceedings of the 2015 ACM International Joint Conference on …, 2015 | 1 | 2015 |
| Information classification device, information classification method, and program for classifying information I Ohama, H Iida US Patent App. 13/393,840, 2012 | 1 | 2012 |
| Training method, training device, and non-transitory computer-readable recording medium KK Kallidromitis, D Gudovskiy, I Ohama, K Kozuka US Patent App. 18/504,300, 2024 | | 2024 |
Hiroki ArimuraGraduate School of Information Science and Technology, Hokkaido University, ProfessorVerified email at ist.hokudai.ac.jp
