2008 |
16 | EE | Motohri Kon,
Takamasa Koshizen,
Kazuyuki Aihara,
Hiroshi Tsujino:
Adaptive habituation detection to build human computer interactive systems using a real-time cross-modal computation.
ICPR 2008: 1-4 |
2005 |
15 | EE | Taiji Suzuki,
Takamasa Koshizen,
Kazuyuki Aihara,
Hiroshi Tsujino:
Learning to estimate user interest utilizing the variational Bayes estimator.
ISDA 2005: 94-99 |
14 | EE | Hirotaka Asai,
Takamasa Koshizen,
Masataka Watanabe,
Hiroshi Tsujino,
Kazuyuki Aihara:
Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.
Machine Learning and Robot Perception 2005: 325-351 |
2004 |
13 | EE | Bernd Heisele,
Takamasa Koshizen:
Components for Face Recognition.
FGR 2004: 153-158 |
12 | EE | Takamasa Koshizen,
Bernd Heisele,
Hiroshi Tsujino:
Expectation maximization of prefrontal-superior temporal network by indicator component-based approach.
Neurocomputing 58-60: 619-624 (2004) |
2003 |
11 | EE | Frank Kirchner,
Takamasa Koshizen,
Dirk Spenneberg:
Cognitive Humanoid Robots Based on Complex Kinematic Features.
KES 2003: 584-591 |
10 | EE | Takamasa Koshizen,
So Yamada,
Hiroshi Tsujino:
Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attention.
Neurocomputing 52-54: 643-648 (2003) |
2002 |
9 | EE | Takamasa Koshizen,
Yugo Ueda,
Hiroshi Tsujino:
The Brain-Like Sensorimotor Control System.
Journal of Intelligent and Robotic Systems 35(3): 265-288 (2002) |
8 | EE | Takamasa Koshizen,
Koji Akatsuka,
Hiroshi Tsujino:
A computational model of attentive visual system induced by cortical neural network.
Neurocomputing 44-46: 881-887 (2002) |
2001 |
7 | EE | Takamasa Koshizen,
Hiroshi Tsujino:
Hypothetically Modeled Perceptual Sensory Modality of Human Vision Selective Attention Scheme by PFC-Based Network.
RobVis 2001: 261-269 |
2000 |
6 | EE | Takamasa Koshizen:
Sensor Selection by GMB-REM in Real Robot Position Estimation.
Journal of Intelligent and Robotic Systems 27(3): 275-289 (2000) |
5 | EE | Takamasa Koshizen:
Improved Sensor Selection Technique by Integrating Sensor Fusion in Robot Position Estimation.
Journal of Intelligent and Robotic Systems 29(1): 79-92 (2000) |
1999 |
4 | | Takamasa Koshizen:
The Sensor Selection Task of The Gaussians Mixture Bayes' with Regularised EM (GMB-REM) Technique in Robot Position Estimation.
ICRA 1999: 2620- |
1998 |
3 | | Takamasa Koshizen:
Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot Localisation.
ICONIP 1998: 123-126 |
2 | | Takamasa Koshizen,
Hiroaki Ogawa,
John Fulcher:
Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing Map.
PAKDD 1998: 390-391 |
1995 |
1 | EE | Takamasa Koshizen,
John Fulcher:
An application of hamiltonian neurodynamics using pontryagin's maximum (minimum) principle.
Int. J. Neural Syst. 6(4): 425-433 (1995) |