S. Imahara

Optimization transfer for computational learning: a hierarchy from f-ICA and alpha-EM to their offsprings

Yasuo Matsuyama, Naoto Katsumata, S. Imahara, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

CONVEX DIVERGENCE AS A SURROGATE FUNCTION FOR INDEPENDENCE : THE f-DIVERGENCE ICA

Y. Matsuyama, S. Imahara, 2001 .

Time Series Pattern Discovery by Segmental Gaussian Models

Makoto Sato, Akihiko Nakase, Shuichiro Imahara, 2004, PRICAI.

Independent component analysis by convex divergence minimization: applications to brain fMRI analysis

Yasuo Matsuyama, S. Imahara, Y. Matsuyama, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Independent Component Analysis Using Convex Divergence

Yasuo Matsuyama, Naoto Katsumata, Shuichiro Imahara, 2001 .

Prediction of energy consumption for new electric vehicle models by machine learning

Toru Yano, Hideyuki Aisu, Arika Fukushima, 2018, IET Intelligent Transport Systems.

Field Study on Actual Usage of Occupancy-Reactive Space Heating Control

Toru Yano, Shuichiro Imahara, S. Imahara, 2021, IEEE Access.