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Dec 22, 2024
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2018-2019 Graduate Catalog [ARCHIVED CATALOG]
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SIE 571 - Pattern Recognition and Robotics Pattern recognition algorithms classify input data based on statistical information. A mobile robot needs pattern recognition algorithms to make sense of its spatial environment based on sensor input. The course will introduce the mathematical framework of pattern recognition and present practical applications in robotics. The course will also cover supervised neural network learning algorithms.
Prerequisites & Notes Graduate standing or Instructor permission.
Credits: 3
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