Masaru Teranishi

Publication Activity (10 Years)

Years Active: 1991-2019
Publications (10 Years): 14

Top Topics

Defocused Images

Training Samples

Secondary Education

Top Venues

Artif. Life Robotics

Publications

Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
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 (2019)
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training. ICANN (3) (2019)
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
Peculiarity Classification of Flat Finishing Skill Training by using Torus Type Self-Organizing Maps with Cluster Maps. IIAI-AAI (2019)
Yuichi Morioka, Katsufumi Inoue, Michifumi Yoshioka, Masaru Teranishi, Takashi Murayama
Blur Restoration of Confocal Microscopy with Depth and Horizontal Dependent PSF. DCAI (Special Sessions) (2018)
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps. DCAI (2018)
Masaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno
Development of Flat Finishing Skill Training System Based on Personal Peculiarity Classification of Tool Trajectory. IIAI-AAI (2018)
Masaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno
Personal Peculiarity Classification of Flat Finishing Skill Training by using Torus type Self-Organizing Maps. DCAI (2017)
Masaru Teranishi, Shinpei Matsumoto, Hidetoshi Takeno
Flat Finishing Skill Training Software System Based on Personal Peculiarity Classification. SoMeT (2017)
Nobuto Fujimoto, Shimpei Matsumoto, Masaru Teranishi, Hidetoshi Takeno, Tatsushi Tokuyasu
Examining efficient instructional methods for computer-aided brush coating skill training system in elementary and secondary education. Artif. Life Robotics 22 (2) (2017)
Masaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno
Personal Peculiarity Classification of Flat Finishing Motion for Skill Training by Using Expanding Self-Organizing Maps. DCAI (2016)
Shimpei Matsumoto, Nobuto Fujimoto, Masaru Teranishi, Hidetoshi Takeno, Tatsushi Tokuyasu
A brush coating skill training system for manufacturing education at Japanese elementary and junior high schools. Artif. Life Robotics 21 (1) (2016)
Masaru Teranishi
Improved neural network tomography by initial learning with coarse reconstructed image. Neurocomputing 172 (2016)
Isao Yamashita, Masaru Teranishi, Michifumi Yoshioka, Takashi Murayama, Yoshitaka Kimori
Image restoration of confocal microscopy based on deconvolution algorithms for biological structure. ASCC (2015)
Masaru Teranishi, Shinpei Matsumoto, Hidetoshi Takeno
Personal peculiarity classification of flat finishing tool motion by using self-organizing maps for skill training. ASCC (2015)
Masaru Teranishi, Keita Oka, Masahiro Aramoto
Stable Learning for Neural Network Tomography by Using Back Projected Image. DCAI (2014)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM. Artif. Life Robotics 13 (2) (2009)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern. HIS (2008)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM. CSTST (2008)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components. ICANN (2002)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network. IJCNN (6) (2000)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns. J. Adv. Comput. Intell. Intell. Informatics 4 (1) (2000)
Masaru Teranishi, Sigeru Omato, Toshihisa Kosaka
New and used bills classification for cepstrum patterns. IJCNN (1999)
Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern. ICONIP (1998)
Minoru Fukumi, Sigeru Omatu, Masaru Teranishi
A new neuron model "cone" with fast convergence rate and its application to pattern recognition. Systems and Computers in Japan 22 (1) (1991)