Takamasa Koshizen - researchr alias

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Viewing Publication 1 - 24 from 24

2022

Improved Vanishing Point Accuracy by Integrating Vehicle Detection and SegmentationFumiaki Sato, Takamasa Koshizen. ivs 2022: 882-887 [doi]

2021

Predicting motorcycle riding behavior using vehicle density variationTakamasa Koshizen, Fumiaki Sato, Ryoka Oishi, Kazuhiko Yamakawa. ivs 2021: 114-121 [doi]

2018

Self-Driving System for Electric Wheelchair Using Smartphone to Estimate Travelable AreasFumiaki Sato, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Shugo Miyamoto, Yasuo Torimoto. SMC 2018: 298-304 [doi]

2017

An Application Using a BLE Beacon Model Combined with Fully Autonomous Wheelchair ControlShugo Miyamoto, Takamasa Koshizen, Takanari Matsumoto, Hiroaki Kawase, Makoto Higuchi, Yasuo Torimoto, Koji Uno, Fumiaki Sato. cisis 2018: 323-335 [doi]

2009

Habituation detection with Allen-Cahn boundary generationTakamasa Koshizen, Motohri Kon, Carson Raynolds, Kazuyuki Aihara. ijaip, 1(4):463-487, 2009. [doi]

2008

Adaptive habituation detection to build human computer interactive systems using a real-time cross-modal computationMotohri Kon, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino. icpr 2008: 1-4 [doi]

2005

Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game TheoryHirotaka Asai, Takamasa Koshizen, Masataka Watanabe, Hiroshi Tsujino, Kazuyuki Aihara. In Bruno Apolloni, Ashish Ghosh, Ferda Nur Alpaslan, Lakhmi C. Jain, Srikanta Patnaik, editors, Machine Learning and Robot Perception. Volume 7 of Studies in Computational Intelligence, pages 325-351, Springer, 2005. [doi]

Learning to estimate user interest utilizing the variational Bayes estimatorTaiji Suzuki, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino. isda 2005: 94-99 [doi]

2004

Components for Face RecognitionBernd Heisele, Takamasa Koshizen. fgr 2004: 153-158 [doi]

Expectation maximization of prefrontal-superior temporal network by indicator component-based approachTakamasa Koshizen, Bernd Heisele, Hiroshi Tsujino. ijon, 58-60:619-624, 2004. [doi]

2003

Cognitive Humanoid Robots Based on Complex Kinematic FeaturesFrank Kirchner, Takamasa Koshizen, Dirk Spenneberg. kes 2003: 584-591 [doi]

Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attentionTakamasa Koshizen, So Yamada, Hiroshi Tsujino. ijon, 52-54:643-648, 2003. [doi]

2002

A computational model of attentive visual system induced by cortical neural networkTakamasa Koshizen, Koji Akatsuka, Hiroshi Tsujino. ijon, 44-46:881-887, 2002. [doi]

The Brain-Like Sensorimotor Control SystemTakamasa Koshizen, Yugo Ueda, Hiroshi Tsujino. jirs, 35(3):265-288, 2002. [doi]

2001

Hypothetically Modeled Perceptual Sensory Modality of Human Vision Selective Attention Scheme by PFC-Based NetworkTakamasa Koshizen, Hiroshi Tsujino. robvis 2001: 261-269 [doi]

The architecture of a Gaussian mixture Bayes (GMB) robot position estimation systemTakamasa Koshizen. jsa, 47(2):103-117, 2001. [doi]

2000

Improved Sensor Selection Technique by Integrating Sensor Fusion in Robot Position EstimationTakamasa Koshizen. jirs, 29(1):79-92, 2000. [doi]

Sensor Selection by GMB-REM in Real Robot Position EstimationTakamasa Koshizen. jirs, 27(3):275-289, 2000. [doi]

1999

The Sensor Selection Task of The Gaussians Mixture Bayes with Regularised EM (GMB-REM) Technique in Robot Position EstimationTakamasa Koshizen. icra 1999: 2620

The evolved Gaussian mixture Bayes' technique using sensor selection task integrated with sensor fusion scheme in mobile robot position estimationTakamasa Koshizen. cira 1999: 202-207 [doi]

A new EM algorithm using Tikhonov regularizationTakamasa Koshizen, Yves Rosseel, Yoshihiro Tonegawa. ijcnn 1999: 413-418 [doi]

1998

Empirical Results on Data Dimensionality Reduction Using the Divided Self-Organizing MapTakamasa Koshizen, Hiroaki Ogawa, John Fulcher. pakdd 1998: 390-391

Orientation Estimation Using Gaussian Mixture Bayes with Regularised EM Algorithm (GMB-REM) for Real Mobile Robot LocalisationTakamasa Koshizen. iconip 1998: 123-126

1995

An application of hamiltonian neurodynamics using pontryagin s maximum (minimum) principleTakamasa Koshizen, John Fulcher. IJNS, 6(4):425-433, 1995. [doi]

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