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(12)
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Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.
Hirotaka
Asai
and Takamasa
Koshizen
and Masataka
Watanabe
and Hiroshi
Tsujino
and Kazuyuki
Aihara
Machine Learning and Robot Perception
325-351 (2005)
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by
dblp
on 2008-03-10 00:00:00
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URL
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BibTeX
Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attention.
Takamasa
Koshizen
and So
Yamada
and Hiroshi
Tsujino
Neurocomputing
52-54
643-648 (2003)
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by
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on 2006-05-05 00:00:00
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URL
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BibTeX
Expectation maximization of prefrontal-superior temporal network by indicator component-based approach.
Takamasa
Koshizen
and Bernd
Heisele
and Hiroshi
Tsujino
Neurocomputing
58-60
619-624 (2004)
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by
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on 2006-05-04 00:00:00
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An application of hamiltonian neurodynamics using pontryagin's maximum (minimum) principle.
Takamasa
Koshizen
and John
Fulcher
Int. J. Neural Syst.
6
425-433 (1995)
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by
dblp
on 2006-03-02 00:00:00
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URL
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BibTeX
Learning to estimate user interest utilizing the variational Bayes estimator.
Taiji
Suzuki
and Takamasa
Koshizen
and Kazuyuki
Aihara
and Hiroshi
Tsujino
ISDA
94-99 (2005)
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by
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on 2006-01-13 00:00:00
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BibTeX
Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot Localisation.
Takamasa
Koshizen
ICONIP
123-126 (1998)
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by
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on 2005-05-10 00:00:00
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Components for Face Recognition.
Bernd
Heisele
and Takamasa
Koshizen
FGR
153-158 (2004)
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by
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on 2004-06-24 00:00:00
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Cognitive Humanoid Robots Based on Complex Kinematic Features.
Frank
Kirchner
and Takamasa
Koshizen
and Dirk
Spenneberg
KES
584-591 (2003)
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by
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on 2003-12-16 00:00:00
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A computational model of attentive visual system induced by cortical neural network.
Takamasa
Koshizen
and Koji
Akatsuka
and Hiroshi
Tsujino
Neurocomputing
44-46
881-887 (2002)
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by
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on 2003-05-26 00:00:00
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The Sensor Selection Task of The Gaussians Mixture Bayes' with Regularised EM (GMB-REM) Technique in Robot Position Estimation.
Takamasa
Koshizen
ICRA
2620- (1999)
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