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Washizawa Lab
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The lab studies how to recognize patterns using machine learning and signal processing.
AboutAbout the lab
Learning from signals to recognize patterns.
The Washizawa Lab studies machine learning, signal processing, pattern recognition, and biosignal processing.
Statistical signal processing and optimization are also listed among its research keywords.
Its registered research fields are intelligent informatics, foundations of informatics, and fundamental brain science.
Key terms
- Machine learning
- A method that lets computers learn rules and patterns from data on their own.
- Signal processing
- Techniques for extracting necessary information from data such as sound and electrical signals, and for cleaning up that data.
- Pattern recognition
- Techniques that let computers determine which category a piece of data belongs to.
ResearchResearch themes
The researcher information lists machine learning, signal processing, and pattern recognition as research keywords. Biosignal processing, statistical signal processing, and optimization are also included, and fundamental brain science is registered as a research field as well.
View More ↗MembersFaculty
- Associate ProfessorYoshikazu Washizawa
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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: “EEG Experiment” Flexagoon / CC0 (cropped)
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