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ORCIDTakamasa Koshizen
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2020 – today
- 2024
[c15]Fumiaki Sato, Takamasa Koshizen, Kazuhiko Yamakawa, Yuji Yasui:
Mobile Alert System Using Lane Detection Based on Vehicle Clustering. IS 2024: 1-6- 2022
- [c14]Fumiaki Sato, Takamasa Koshizen:
Improved Vanishing Point Accuracy by Integrating Vehicle Detection and Segmentation. IV 2022: 882-887 - 2021
- [c13]Takamasa Koshizen, Fumiaki Sato, Ryoka Oishi, Kazuhiko Yamakawa:
Predicting motorcycle riding behavior using vehicle density variation. IV Workshops 2021: 114-121
2010 – 2019
- 2018
- [c12]Fumiaki Sato, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Shugo Miyamoto, Yasuo Torimoto:
Self-Driving System for Electric Wheelchair Using Smartphone to Estimate Travelable Areas. SMC 2018: 298-304 - 2017
- [c11]Shugo Miyamoto, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Makoto Higuchi, Yasuo Torimoto, Koji Uno, Fumiaki Sato:
An Application Using a BLE Beacon Model Combined with Fully Autonomous Wheelchair Control. CISIS 2017: 323-335
2000 – 2009
- 2009
- [j9]Takamasa Koshizen, Motohri Kon, Carson Raynolds, Kazuyuki Aihara:
Habituation detection with Allen-Cahn boundary generation. Int. J. Adv. Intell. Paradigms 1(4): 463-487 (2009) - 2008
- [c10]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
- [c9]Taiji Suzuki, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino:
Learning to estimate user interest utilizing the variational Bayes estimator. ISDA 2005: 94-99 - [p1]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
- [j8]Takamasa Koshizen, Bernd Heisele, Hiroshi Tsujino
:
Expectation maximization of prefrontal-superior temporal network by indicator component-based approach. Neurocomputing 58-60: 619-624 (2004) - [c8]Bernd Heisele, Takamasa Koshizen:
Components for Face Recognition. FGR 2004: 153-158 - 2003
- [j7]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) - [c7]Frank Kirchner, Takamasa Koshizen, Dirk Spenneberg:
Cognitive Humanoid Robots Based on Complex Kinematic Features. KES 2003: 584-591 - 2002
- [j6]Takamasa Koshizen, Koji Akatsuka, Hiroshi Tsujino:
A computational model of attentive visual system induced by cortical neural network. Neurocomputing 44-46: 881-887 (2002) - [j5]Takamasa Koshizen, Yugo Ueda, Hiroshi Tsujino:
The Brain-Like Sensorimotor Control System. J. Intell. Robotic Syst. 35(3): 265-288 (2002) - 2001
- [j4]Takamasa Koshizen:
The architecture of a Gaussian mixture Bayes (GMB) robot position estimation system. J. Syst. Archit. 47(2): 103-117 (2001) - [c6]Takamasa Koshizen, Hiroshi Tsujino:
Hypothetically Modeled Perceptual Sensory Modality of Human Vision Selective Attention Scheme by PFC-Based Network. RobVis 2001: 261-269 - 2000
- [j3]Takamasa Koshizen:
Sensor Selection by GMB-REM in Real Robot Position Estimation. J. Intell. Robotic Syst. 27(3): 275-289 (2000) - [j2]Takamasa Koshizen:
Improved Sensor Selection Technique by Integrating Sensor Fusion in Robot Position Estimation. J. Intell. Robotic Syst. 29(1): 79-92 (2000)
1990 – 1999
- 1999
- [c5]Takamasa Koshizen:
The evolved Gaussian mixture Bayes' technique using sensor selection task integrated with sensor fusion scheme in mobile robot position estimation. CIRA 1999: 202-207 - [c4]Takamasa Koshizen:
The Sensor Selection Task of The Gaussians Mixture Bayes' with Regularised EM (GMB-REM) Technique in Robot Position Estimation. ICRA 1999: 2620-2625 - [c3]Takamasa Koshizen, Yves Rosseel, Yoshihiro Tonegawa:
A new EM algorithm using Tikhonov regularization. IJCNN 1999: 413-418 - 1998
- [c2]Takamasa Koshizen:
Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot Localisation. ICONIP 1998: 123-126 - [c1]Takamasa Koshizen, Hiroaki Ogawa, John Fulcher:
Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing Map. PAKDD 1998: 390-391 - 1995
- [j1]Takamasa Koshizen, John Fulcher:
An application of hamiltonian neurodynamics using pontryagin's maximum (minimum) principle. Int. J. Neural Syst. 6(4): 425-433 (1995)
Coauthor Index
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last updated on 2024-10-23 21:28 CEST by the dblp team
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