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Masao Yokota, Ph. D. |
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I am a professor for informatics at
Fukuoka Institute of Technology. My research interests focus on AI, especially,
on integrated multimedia understanding by robots as 'natural' as by humans.
For this purpose, I have proposed 'Mental Image Directed Semantic Theory
(MIDST)' based on a hypothesis that natural language understanding
in humans is omnisensory mental image processing. MIDST has been provided with
an omnisensory mental image model and a formal language so called 'Lmd (Language for Mental
image Description)'. This formal language has been already implemented on
several versions of the intelligent system IMAGES whose last version is the
integrated multimedia understanding system IMAGES-M. Recently, I have been the leader
of the project titled 'Automatic Linguistic Understanding of Human
Action Data' funded by Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT).
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Interests: |
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Knowledge representation as mental image description
Integrated multimedia understanding
Spatiotemporal knowledge formalization as natural semantics
Human mind model for robotics |
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Research Projects: |
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FIT project Spatiotemporal Inference
FIT project Distributed Intelligent Robot Networking (DIRN)
FIT project Cross-media Operations
FIT project Natural Language Understanding in Humans
MEXT project Automatic Linguisitic Understanding of Human Action Data |
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Teaching: |
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Information Media Science for undergraduates
Multimedia Information Processing for undergraduates
Advanced Multimedia Engineering for graduates |
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Others: |
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Grants
News
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Publications:
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last update: 21-01-08 |
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To Fukuoka Institute of Technology |
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