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
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
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
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
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
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
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
Publications: Hiroki Arimura
T Takagi, S Inenaga
Algorithms 11, 128, 2018
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
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