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
Cited by
Cited by
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
Display device and method of switching display direction
R Kamei, N Matsui, T Matsumoto, S Ohtsubo, I Ohama
US Patent 9,507,379, 2016
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
arXiv preprint arXiv:1709.08770, 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
Analysis of common noise-induced synchronization phenomena in chaotic systems with the Cauchy distributions
M Shintani, K Umeno
IEICE Technical Report; IEICE Tech. Rep. 115 (178), 11-16, 2015
Classification device and classification method
I Ohama, T Abe, H Arimura, T Kida
US Patent 8,793,204, 2014
大浜郁, 延原章平, 松山隆司
MIRU2006, 688-693, 2006
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
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
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
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 Relevance-Dependent Bicluster Structure from Relational Data.
I Ohama, T Kida, H Arimura
IJCAI, 2578-2584, 2017
Co-clustering apparatus, co-clustering method, recording medium, and integrated circuit
I Ohama
US Patent App. 14/054,890, 2014
Anomaly detection method, learning method, anomaly detection device, and learning device
T Oba, I Ohama
US Patent 10,785,244, 2020
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
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