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CPSC556

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Machine Learning in Biometric Security

Computer ScienceSC - Faculty of Science

Subject

CPSC - Computer Science

Description

Principles of machine learning in biometric system design. Examine methods of expert decision making in multi-modal systems using rank, score, decision and fuzzy level fusion. Biometric classification using traditional machine learning methods and modern deep learning architectures. Application topics may include image processing, pattern recognition, data mining, medicine, defense and cybersecurity.

Prerequisite(s): 3 units from Computer Science 319, 331, or Data Science 311.

Antirequisite(s): Credit for Computer Science 556 and 656 will not be allowed.

Signature Learning

Research & Creative Scholarship

Course Attributes

Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-0), Research & Creative Scholarship - Related

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

CPSC
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