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Suyari-Mori Lab
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A lab that applies pattern recognition and machine learning to medical image and language processing.
AboutAbout the lab
Pattern recognition and machine learning.
The Suyari-Mori Lab specializes in pattern recognition and machine learning, and conducts research by forming multiple project teams.
Prof. Suyari's fields of expertise are information theory, complex systems, mathematical informatics, and artificial intelligence (medical imaging and language processing).
The lab also studies a system that uses machine learning to automatically grade answers to written-answer questions.
Key terms
- Pattern recognition
- Technology that finds fixed "patterns" in data such as images and text and determines what they are
- Machine learning
- A method in which a computer learns rules from many examples so that it can make judgments and predictions
- Complex systems
- Systems in which many elements influence one another and the whole shows behavior that cannot be explained by simple addition
ResearchResearch themes
The lab specializes in pattern recognition and machine learning, and conducts research by forming multiple project teams.
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MembersFaculty
The members of the Suyari-Mori Lab include faculty, doctoral, master's, and undergraduate students.
- ProfessorHiroki Suyari
- Associate ProfessorYasukuni Mori
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “139 Server Room 01” Indrajit Das / CC BY-SA 3.0 (cropped)
- Automatic Grading of Written-Answer Questions: “Bal Uddhar Students taking exam” Baluddhar / CC BY-SA 4.0 (cropped)
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