Takamasa Koshizen

According to our database, Takamasa Koshizen authored at least 24 papers between 1995 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Improved Vanishing Point Accuracy by Integrating Vehicle Detection and Segmentation.

Fumiaki Sato, Takamasa Koshizen

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Predicting motorcycle riding behavior using vehicle density variation.

Takamasa Koshizen, Fumiaki Sato, Ryoka Oishi, Kazuhiko Yamakawa

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2018

Self-Driving System for Electric Wheelchair Using Smartphone to Estimate Travelable Areas.

Fumiaki Sato, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Shugo Miyamoto, Yasuo Torimoto

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

An Application Using a BLE Beacon Model Combined with Fully Autonomous Wheelchair Control.

Shugo Miyamoto, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Makoto Higuchi, Yasuo Torimoto, Koji Uno, Fumiaki Sato

Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017

2009

Habituation detection with Allen-Cahn boundary generation.

Takamasa Koshizen, Motohri Kon, Carson Raynolds, Kazuyuki Aihara

Int. J. Adv. Intell. Paradigms, 2009

2008

Adaptive habituation detection to build human computer interactive systems using a real-time cross-modal computation.

Motohri Kon, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2005

Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.

Hirotaka Asai, Takamasa Koshizen, Masataka Watanabe, Hiroshi Tsujino, Kazuyuki Aihara

Proceedings of the Machine Learning and Robot Perception, 2005

Learning to estimate user interest utilizing the variational Bayes estimator.

Taiji Suzuki, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino

Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

2004

Expectation maximization of prefrontal-superior temporal network by indicator component-based approach.

Takamasa Koshizen, Bernd Heisele, Hiroshi Tsujino

Neurocomputing, 2004

Components for Face Recognition.

Bernd Heisele, Takamasa Koshizen

Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

2003

Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attention.

Takamasa Koshizen, So Yamada, Hiroshi Tsujino

Neurocomputing, 2003

Cognitive Humanoid Robots Based on Complex Kinematic Features.

Frank Kirchner, Takamasa Koshizen, Dirk Spenneberg

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002

The Brain-Like Sensorimotor Control System.

Takamasa Koshizen, Yugo Ueda, Hiroshi Tsujino

J. Intell. Robotic Syst., 2002

A computational model of attentive visual system induced by cortical neural network.

Takamasa Koshizen, Koji Akatsuka, Hiroshi Tsujino

Neurocomputing, 2002

2001

The architecture of a Gaussian mixture Bayes (GMB) robot position estimation system.

Takamasa Koshizen

J. Syst. Archit., 2001

Hypothetically Modeled Perceptual Sensory Modality of Human Vision Selective Attention Scheme by PFC-Based Network.

Takamasa Koshizen, Hiroshi Tsujino

Proceedings of the Robot Vision, 2001

2000

Improved Sensor Selection Technique by Integrating Sensor Fusion in Robot Position Estimation.

Takamasa Koshizen

J. Intell. Robotic Syst., 2000

Sensor Selection by GMB-REM in Real Robot Position Estimation.

Takamasa Koshizen

J. Intell. Robotic Syst., 2000

1999

A new EM algorithm using Tikhonov regularization.

Takamasa Koshizen, Yves Rosseel, Yoshihiro Tonegawa

Proceedings of the International Joint Conference Neural Networks, 1999

The Sensor Selection Task of The Gaussians Mixture Bayes' with Regularised EM (GMB-REM) Technique in Robot Position Estimation.

Takamasa Koshizen

Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999

The evolved Gaussian mixture Bayes' technique using sensor selection task integrated with sensor fusion scheme in mobile robot position estimation.

Takamasa Koshizen

Proceedings of the Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1999

1998

Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing Map.

Takamasa Koshizen, Hiroaki Ogawa, John Fulcher

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot Localisation.

Takamasa Koshizen

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1995

An application of hamiltonian neurodynamics using pontryagin's maximum (minimum) principle.

Takamasa Koshizen, John Fulcher

Int. J. Neural Syst., 1995