Machine Learning in Biometric and Cybersecurity

3 credits · Graduate Programs

Principles of machine learning in biometric system design. Multi-modal, trustworthy and fuzzy decision fusion. Traditional machine learning methods and modern deep learning architectures. Applications in image processing, pattern recognition, data mining, medicine, human-computer interaction, oil and gas exploration, defense and cybersecurity. Antirequisite(s): Credit for Computer Science 656 and 556 will not be allowed. Also known as: (formerly Computer Science 601.57)