Iku Ohama, Ph.D.
Iku Ohama, Ph.D.
Chief Research Engineer at Panasonic, Senior Research Engineer at ARIMO LLC
Verified email at jp.panasonic.com
TitleCited byYear
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
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
An extension of the infinite relational model incorporating interaction between objects
I Ohama, H Iida, T Kida, H Arimura
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 147-159, 2013
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
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, 397-405, 2017
大浜郁, 延原章平, 松山隆司
MIRU2006, 688-693, 2006
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
Co-clustering apparatus, co-clustering method, recording medium, and integrated circuit
I Ohama
US Patent App. 14/054,890, 2014
Discovering Relevance-Dependent Bicluster Structure from Relational Data.
I Ohama, T Kida, H Arimura
IJCAI, 2578-2584, 2017
Demand prediction method, demand prediction apparatus, and non-transitory computer-readable recording medium
R Fujimura, I Ohama, H Umetani, Y Shoda
US Patent App. 15/184,985, 2017
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
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
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
Information classification device, information classification method, and program for classifying information
I Ohama, H Iida
US Patent App. 13/393,840, 2012
Anomaly detection method, learning method, anomaly detection device, and learning device
T Oba, I Ohama
US Patent App. 16/218,975, 2019
Relevance-dependent Biclustering Models for Relational Data Analysis
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
Data analysis method, data analysis apparatus, and recording medium having recorded program
H Umetani, I Ohama, R Fujimura, Y Shoda
US Patent App. 15/169,767, 2016
Display device and method of switching display direction
R Kamei, N Matsui, T Matsumoto, S Ohtsubo, I Ohama
US Patent 9,507,379, 2016
大規模関係データからのフルランクでない共クラスタ構造発見のための効率的なテンソルスペクトル分解手法の提案 (情報論的学習理論と機械学習)
梅谷英生, 大濱郁
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 115 (511), 39-46, 2016
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