Yoshinori Katayama | Last modified date:2023.11.27 |
Assistant Professor /
Intelligence Science
Department of Informatics
Faculty of Information Science and Electrical Engineering
Department of Informatics
Faculty of Information Science and Electrical Engineering
Graduate School
Undergraduate School
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Homepage
https://kyushu-u.elsevierpure.com/en/persons/yoshinori-katayama
Reseacher Profiling Tool Kyushu University Pure
http://bie.inf.kyushu-u.ac.jp/~yosinori/
Homepage of Yoshinori Katayama .
Phone
092-802-3768
Fax
092-802-3767
Academic Degree
Doctor of Engineering
Country of degree conferring institution (Overseas)
No
Field of Specialization
Pattern Recognition
Total Priod of education and research career in the foreign country
00years00months
Outline Activities
After the study of sentence level speech recognition under the constraint of context free grammar,
now the study about on-line character recognition and brain infomatics.
now the study about on-line character recognition and brain infomatics.
Research
Research Interests
Membership in Academic Society
- A study on generalized pattern recognition based on self-acquisition of standard models by learning combinations of known primitive features
keyword : pattern recognition, self-acquisition of standard models, learning combinations of primitive features
2022.04Theme: Learning method of the Cube search HMM and modeling of the stroke HMM in the online character recognition. Keyword: online character recognition, stroke order free, cube search, Hidden Markov Model (HMM), hook Outline: Improve the recognition performance in the popular writing of the online character recognition with basically stroke-order free by including the statistical stroke order information within the training data, which is achieved by applying the HMM to the cube search of fully stroke-order free system, that is called cube HMM. Stroke HMM is the stroke level modeling and the base system against the cube HMM. Investigating the model design of the stroke HMM which is more adequate and robust against the specific noise such as hook elements.. - Learning method of the Cube search HMM and modeling of the stroke HMM in the online character recognition
keyword : online character recognition, stroke order free, cube search, Hidden Markov Model (HMM), hook
2006.04Theme: Learning method of the Cube search HMM and modeling of the stroke HMM in the online character recognition. Keyword: online character recognition, stroke order free, cube search, Hidden Markov Model (HMM), hook Outline: Improve the recognition performance in the popular writing of the online character recognition with basically stroke-order free by including the statistical stroke order information within the training data, which is achieved by applying the HMM to the cube search of fully stroke-order free system, that is called cube HMM. Stroke HMM is the stroke level modeling and the base system against the cube HMM. Investigating the model design of the stroke HMM which is more adequate and robust against the specific noise such as hook elements. . - Signal processing of EEG aiming for BCI
keyword : Brain-Computer Interface, BCI, EEG signal processing, EEG, Artifact, TMS, Transcranial Magnetic Stimulation, electroencephalogram
2008.05Theme: Signal processing against electroencephalogram for brain computer interface Keywords: brain computer interface, BCI, electroencephalogram, EEG, EEG signal processing, artifact, transcranial magnetic stimulation,TMS Outline: Signal processing and pattern recognition against electroencephalogram for constructing the brain-computer interface (BCI). Signal processing around electroencephalogram such as modeling of the specific artifact of applying the transcranial magnetic stimulation (TMS). .
Papers
Presentations
- The Institute of Electrical Engineers of Japan
- The Institute of Electrical and Electronics Engineers (IEEE)
- The Best Paper Award of IEICE 2008 (at 23 May 2009)
Title: An HMM Representing Stroke Order Variations and Its Application to Online Character Recognition
Educational
Educational Activities
Experiment III of Electrical and Computer Engineering
Basic Excercise of Electrical and Computer Engineering (from 2020)
Primary Course of Cyber Security (2023 spring)
et al.
Basic Excercise of Electrical and Computer Engineering (from 2020)
Primary Course of Cyber Security (2023 spring)
et al.
Social
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