Takamasa Koshizen

26 papers A* 1B 7C 2Misc 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Detection of Encroaching Vehicles based on Combination of Deep-Learning-Based Object Detection and Heuristics. SMC Fumiaki Sato, Takamasa Koshizen, Kazuhiko Yamakawa, Yuji Yasui
2024	—	`conf`	Mobile Alert System Using Lane Detection Based on Vehicle Clustering. IS Fumiaki Sato, Takamasa Koshizen, Kazuhiko Yamakawa, Yuji Yasui
2022	C	`conf`	Improved Vanishing Point Accuracy by Integrating Vehicle Detection and Segmentation. IV Fumiaki Sato, Takamasa Koshizen
2021	—	`conf`	Predicting motorcycle riding behavior using vehicle density variation. IV Workshops Takamasa Koshizen, Fumiaki Sato, Ryoka Oishi, Kazuhiko Yamakawa
2018	B	`conf`	Self-Driving System for Electric Wheelchair Using Smartphone to Estimate Travelable Areas. SMC Fumiaki Sato, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Shugo Miyamoto, Yasuo Torimoto
2017	Misc	`conf`	An Application Using a BLE Beacon Model Combined with Fully Autonomous Wheelchair Control. CISIS Shugo Miyamoto, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Makoto Higuchi, Yasuo Torimoto, Koji Uno, Fumiaki Sato
2009	J	`jnl`	Habituation detection with Allen-Cahn boundary generation. Int. J. Adv. Intell. Paradigms Takamasa Koshizen, Motohri Kon, Carson Raynolds, Kazuyuki Aihara
2008	B	`conf`	Adaptive habituation detection to build human computer interactive systems using a real-time cross-modal computation. ICPR Motohri Kon, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino
2005	—	`ch.`	Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory. Machine Learning and Robot Perception Hirotaka Asai, Takamasa Koshizen, Masataka Watanabe, Hiroshi Tsujino, Kazuyuki Aihara
2005	C	`conf`	Learning to estimate user interest utilizing the variational Bayes estimator. ISDA Taiji Suzuki, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino
2004	—	`conf`	Components for Face Recognition. FGR Bernd Heisele, Takamasa Koshizen
2004	J	`jnl`	Expectation maximization of prefrontal-superior temporal network by indicator component-based approach. Neurocomputing Takamasa Koshizen, Bernd Heisele, Hiroshi Tsujino
2003	B	`conf`	Cognitive Humanoid Robots Based on Complex Kinematic Features. KES Frank Kirchner, Takamasa Koshizen, Dirk Spenneberg
2003	J	`jnl`	Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attention. Neurocomputing Takamasa Koshizen, So Yamada, Hiroshi Tsujino
2002	J	`jnl`	A computational model of attentive visual system induced by cortical neural network. Neurocomputing Takamasa Koshizen, Koji Akatsuka, Hiroshi Tsujino
2002	J	`jnl`	The Brain-Like Sensorimotor Control System. J. Intell. Robotic Syst. Takamasa Koshizen, Yugo Ueda, Hiroshi Tsujino
2001	—	`conf`	Hypothetically Modeled Perceptual Sensory Modality of Human Vision Selective Attention Scheme by PFC-Based Network. RobVis Takamasa Koshizen, Hiroshi Tsujino
2001	J	`jnl`	The architecture of a Gaussian mixture Bayes (GMB) robot position estimation system. J. Syst. Archit. Takamasa Koshizen
2000	J	`jnl`	Improved Sensor Selection Technique by Integrating Sensor Fusion in Robot Position Estimation. J. Intell. Robotic Syst. Takamasa Koshizen
2000	J	`jnl`	Sensor Selection by GMB-REM in Real Robot Position Estimation. J. Intell. Robotic Syst. Takamasa Koshizen
1999	B	`conf`	A new EM algorithm using Tikhonov regularization. IJCNN Takamasa Koshizen, Yves Rosseel, Yoshihiro Tonegawa
1999	A*	`conf`	The Sensor Selection Task of The Gaussians Mixture Bayes' with Regularised EM (GMB-REM) Technique in Robot Position Estimation. ICRA Takamasa Koshizen
1999	—	`conf`	The evolved Gaussian mixture Bayes' technique using sensor selection task integrated with sensor fusion scheme in mobile robot position estimation. CIRA Takamasa Koshizen
1998	B	`conf`	Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing Map. PAKDD Takamasa Koshizen, Hiroaki Ogawa, John Fulcher
1998	B	`conf`	Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot Localisation. ICONIP Takamasa Koshizen
1995	J	`jnl`	An application of hamiltonian neurodynamics using pontryagin's maximum (minimum) principle. Int. J. Neural Syst. Takamasa Koshizen, John Fulcher