Hiroyuki Izumi

17 papers A* 1B 3Journal 2Unranked 11
YearRankTypeTitle / Venue / Authors
2020 — conf
Development of an anomaly detection method with a novel hidden semi-Markov model incorporating unlearned states.
SII
Takayuki Mukaeda, Keisuke Shima, Saori Miyajima, Yuki Hashimoto, Takayuki Tanaka, Naomichi Tani, Hiroyuki Izumi
2018 — conf
A Standing Function Evaluation System Based on Virtual Light Touch Contact and Factor Analysis.
EMBC
Mami Sakata, Dai Kawahara, Keisuke Shima, Hiroyuki Izumi, Tomoyuki Nagara, Koji Shimatani
2018 J jnl
Feature Selection for Work Recognition and Working Motion Measurement.
J. Robotics Mechatronics
Saori Miyajima, Takayuki Tanaka, Natsuki Miyata, Mitsunori Tada, Masaaki Mochimaru, Hiroyuki Izumi
2016 — conf
Simplified Standing Function Evaluation System for Fall Prevention.
ICIRA (2)
Mami Sakata, Keisuke Shima, Koji Shimatani, Hiroyuki Izumi
2014 — conf
Estimation of Hidden Markov Chains by a Neural Network.
ICONIP (1)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2012 — conf
Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes.
ICONIP (5)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2011 — conf
A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network.
ICONIP (2)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2011 B conf
Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes.
IJCNN
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2010 J jnl
Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes.
Aust. J. Intell. Inf. Process. Syst.
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2009 — conf
Learning of Mahalanobis Discriminant Functions by a Neural Network.
ICONIP (1)
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan
2008 — conf
Multi-category Bayesian Decision by Neural Networks.
ICANN (1)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
2007 B conf
A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision.
IJCNN
Yoshifusa Ito, Crinivasan Srinivasan, Hiroyuki Izumi
2007 — conf
Learning of Bayesian Discriminant Functions by a Layered Neural Network.
ICONIP (1)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
2006 — conf
Discriminant Analysis by a Neural Network with Mahalanobis Distance.
ICANN (2)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
2005 — conf
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities.
ICANN (2)
Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi
1990 B conf
A study of a divided learning method.
IJCNN
Masao Yoshida, Akira Iwata, Nobukazu Iijima, Ryuichi Ejiri, Hiroyuki Izumi, Mototaka Sone, Hideo Mitsui
1984 A* conf
A Complete Axiom System for Algebra of Closed-Regular Expression.
ICALP
Hiroyuki Izumi, Yasuyoshi Inagaki, Namio Honda