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Hiroyuki Izumi
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2020 – today
- 2020
- [c15]Takayuki Mukaeda, Keisuke Shima, Saori Miyajima, Yuki Hashimoto, Takayuki Tanaka, Naomichi Tani
, Hiroyuki Izumi:
Development of an anomaly detection method with a novel hidden semi-Markov model incorporating unlearned states. SII 2020: 1270-1275
2010 – 2019
- 2018
- [j2]Saori Miyajima, Takayuki Tanaka, Natsuki Miyata
Feature Selection for Work Recognition and Working Motion Measurement. J. Robotics Mechatronics 30(5): 706-716 (2018) - [c14]Mami Sakata, Dai Kawahara, Keisuke Shima, Hiroyuki Izumi, Tomoyuki Nagara, Koji Shimatani:
A Standing Function Evaluation System Based on Virtual Light Touch Contact and Factor Analysis. EMBC 2018: 4077-4080 - 2016
- [c13]Mami Sakata, Keisuke Shima
Simplified Standing Function Evaluation System for Fall Prevention. ICIRA (2) 2016: 48-57 - 2014
- [c12]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Estimation of Hidden Markov Chains by a Neural Network. ICONIP (1) 2014: 602-609 - 2012
- [c11]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes. ICONIP (5) 2012: 25-33 - 2011
- [c10]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network. ICONIP (2) 2011: 596-605 - [c9]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes. IJCNN 2011: 733-740 - 2010
- [j1]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes. Aust. J. Intell. Inf. Process. Syst. 11(4) (2010)
2000 – 2009
- 2009
- [c8]Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Learning of Mahalanobis Discriminant Functions by a Neural Network. ICONIP (1) 2009: 417-424 - 2008
- [c7]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Multi-category Bayesian Decision by Neural Networks. ICANN (1) 2008: 21-30 - 2007
- [c6]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Learning of Bayesian Discriminant Functions by a Layered Neural Network. ICONIP (1) 2007: 238-247 - [c5]Yoshifusa Ito, Crinivasan Srinivasan, Hiroyuki Izumi:
A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision. IJCNN 2007: 2993-2998 - 2006
- [c4]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Discriminant Analysis by a Neural Network with Mahalanobis Distance. ICANN (2) 2006: 350-360 - 2005
- [c3]Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities. ICANN (2) 2005: 253-259
1990 – 1999
- 1990
- [c2]Masao Yoshida, Akira Iwata, Nobukazu Iijima, Ryuichi Ejiri, Hiroyuki Izumi, Mototaka Sone, Hideo Mitsui:
A study of a divided learning method. IJCNN 1990: 943-947
1980 – 1989
- 1984
- [c1]Hiroyuki Izumi, Yasuyoshi Inagaki, Namio Honda:
A Complete Axiom System for Algebra of Closed-Regular Expression. ICALP 1984: 260-269
Coauthor Index
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