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Iku Ohama
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2020 – today
- 2023
- [i1]Han Qi, Xinyang Geng, Stefano Rando, Iku Ohama, Aviral Kumar, Sergey Levine:
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction. CoRR abs/2310.10056 (2023)
2010 – 2019
- 2018
- [j4]Iku Ohama, Takuya Kida, Hiroki Arimura:
Discovering Co-Cluster Structure from Relationships between Biased Objects. IEICE Trans. Inf. Syst. 101-D(12): 3108-3122 (2018) - [c6]Ryuji Sakata, Iku Ohama, Tadahiro Taniguchi:
An Extension of Gradient Boosted Decision Tree Incorporating Statistical Tests. ICDM Workshops 2018: 964-969 - 2017
- [c5]Iku Ohama, Takuya Kida, Hiroki Arimura:
Discovering Relevance-Dependent Bicluster Structure from Relational Data. IJCAI 2017: 2578-2584 - [c4]Iku Ohama, Issei Sato, Takuya Kida, Hiroki Arimura:
On the Model Shrinkage Effect of Gamma Process Edge Partition Models. NIPS 2017: 397-405 - 2016
- [j3]Iku Ohama, Hiromi Iida, Takuya Kida, Hiroki Arimura:
The Relevance Dependent Infinite Relational Model for Discovering Co-Cluster Structure from Relationships with Structured Noise. IEICE Trans. Inf. Syst. 99-D(4): 1139-1152 (2016) - 2015
- [c3]Yuki Minoda, Iku Ohama, Eiichi Muramoto:
A machine learning approach for lighting perception analysis via crowdsourcing. UbiComp/ISWC Adjunct 2015: 1355-1360 - [c2]Iku Ohama, Takuya Kida, Hiroki Arimura:
Multi-Layered Framework for Modeling Relationships between Biased Objects. SDM 2015: 819-827 - 2013
- [c1]Iku Ohama, Hiromi Iida, Takuya Kida, Hiroki Arimura:
An Extension of the Infinite Relational Model Incorporating Interaction between Objects. PAKDD (2) 2013: 147-159
2000 – 2009
- 2009
- [j2]Shohei Nobuhara, Yoshiyuki Tsuda, Iku Ohama, Takashi Matsuyama:
Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression. Inf. Media Technol. 4(4): 1010-1027 (2009) - [j1]Shohei Nobuhara, Yoshiyuki Tsuda, Iku Ohama, Takashi Matsuyama:
Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression. IPSJ Trans. Comput. Vis. Appl. 1: 242-259 (2009)
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