Hiroyuki Izumi

According to our database, Hiroyuki Izumi authored at least 17 papers between 1984 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Development of an anomaly detection method with a novel hidden semi-Markov model incorporating unlearned states.

Takayuki Mukaeda, Keisuke Shima, Saori Miyajima, Yuki Hashimoto, Takayuki Tanaka, Naomichi Tani, Hiroyuki Izumi

Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2018

Feature Selection for Work Recognition and Working Motion Measurement.

Saori Miyajima, Takayuki Tanaka, Natsuki Miyata, Mitsunori Tada, Masaaki Mochimaru, Hiroyuki Izumi

J. Robotics Mechatronics, 2018

A Standing Function Evaluation System Based on Virtual Light Touch Contact and Factor Analysis.

Mami Sakata, Dai Kawahara, Keisuke Shima, Hiroyuki Izumi, Tomoyuki Nagara, Koji Shimatani

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016

Simplified Standing Function Evaluation System for Fall Prevention.

Mami Sakata, Keisuke Shima, Koji Shimatani, Hiroyuki Izumi

Proceedings of the Intelligent Robotics and Applications - 9th International Conference, 2016

2014

Estimation of Hidden Markov Chains by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2012

Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Aust. J. Intell. Inf. Process. Syst., 2010

2009

Learning of Mahalanobis Discriminant Functions by a Neural Network.

Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

Multi-category Bayesian Decision by Neural Networks.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks, 2008

2007

A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision.

Yoshifusa Ito, Crinivasan Srinivasan, Hiroyuki Izumi

Proceedings of the International Joint Conference on Neural Networks, 2007

Learning of Bayesian Discriminant Functions by a Layered Neural Network.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Discriminant Analysis by a Neural Network with Mahalanobis Distance.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks, 2006

2005

Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities.

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

1990

A study of a divided learning method.

Masao Yoshida, Akira Iwata, Nobukazu Iijima, Ryuichi Ejiri, Hiroyuki Izumi, Mototaka Sone, Hideo Mitsui

Proceedings of the IJCNN 1990, 1990

1984

A Complete Axiom System for Algebra of Closed-Regular Expression.

Hiroyuki Izumi, Yasuyoshi Inagaki, Namio Honda

Proceedings of the Automata, 1984