Masaru Teranishi

24 papers B 2C 3Misc 5Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2019 — conf
Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training.
ICANN (3)
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
2019 Misc conf
Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps Part 2: Improvement of Clustering Performance Based on Codebook Vector Density.
DCAI
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
2019 — conf
Peculiarity Classification of Flat Finishing Skill Training by using Torus Type Self-Organizing Maps with Cluster Maps.
IIAI-AAI
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
2018 — conf
Blur Restoration of Confocal Microscopy with Depth and Horizontal Dependent PSF.
DCAI (Special Sessions)
Yuichi Morioka, Katsufumi Inoue, Michifumi Yoshioka, Masaru Teranishi, Takashi Murayama
2018 — conf
Development of Flat Finishing Skill Training System Based on Personal Peculiarity Classification of Tool Trajectory.
IIAI-AAI
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
2018 Misc conf
Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps.
DCAI
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
2017 J jnl
Examining efficient instructional methods for computer-aided brush coating skill training system in elementary and secondary education.
Artif. Life Robotics
Nobuto Fujimoto, Shimpei Matsumoto, Masaru Teranishi, Hidetoshi Takeno, Tatsushi Tokuyasu
2017 C conf
Flat Finishing Skill Training Software System Based on Personal Peculiarity Classification.
SoMeT
Masaru Teranishi, Shinpei Matsumoto, Hidetoshi Takeno
2017 Misc conf
Personal Peculiarity Classification of Flat Finishing Skill Training by using Torus type Self-Organizing Maps.
DCAI
Masaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno
2016 J jnl
A brush coating skill training system for manufacturing education at Japanese elementary and junior high schools.
Artif. Life Robotics
Shimpei Matsumoto, Nobuto Fujimoto, Masaru Teranishi, Hidetoshi Takeno, Tatsushi Tokuyasu
2016 J jnl
Improved neural network tomography by initial learning with coarse reconstructed image.
Neurocomputing
Masaru Teranishi
2016 Misc conf
Personal Peculiarity Classification of Flat Finishing Motion for Skill Training by Using Expanding Self-Organizing Maps.
DCAI
Masaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno
2015 — conf
Image restoration of confocal microscopy based on deconvolution algorithms for biological structure.
ASCC
Isao Yamashita, Masaru Teranishi, Michifumi Yoshioka, Takashi Murayama, Yoshitaka Kimori
2015 — conf
Personal peculiarity classification of flat finishing tool motion by using self-organizing maps for skill training.
ASCC
Masaru Teranishi, Shinpei Matsumoto, Hidetoshi Takeno
2014 Misc conf
Stable Learning for Neural Network Tomography by Using Back Projected Image.
DCAI
Masaru Teranishi, Keita Oka, Masahiro Aramoto
2009 J jnl
Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM.
Artif. Life Robotics
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
2008 C conf
Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern.
HIS
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
2008 — conf
Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM.
CSTST
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
2002 C conf
Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components.
ICANN
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
2000 — conf
Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network.
IJCNN (6)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
2000 J jnl
Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns.
J. Adv. Comput. Intell. Intell. Informatics
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
1999 B conf
New and used bills classification for cepstrum patterns.
IJCNN
Masaru Teranishi, Sigeru Omato, Toshihisa Kosaka
1998 B conf
New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern.
ICONIP
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
1991 J jnl
A new neuron model "cone" with fast convergence rate and its application to pattern recognition.
Syst. Comput. Jpn.
Minoru Fukumi, Sigeru Omatu, Masaru Teranishi