cse4prn pattern recognition
PATTERN RECOGNITION
CSE4PRN
Not currently offered
Credit points: 15
Subject outline
This unit provides students with advanced knowledge in neural networks and related pattern recognition techniques. Main topics include: introduction to pattern recognition; discriminative versus generative approaches; multilayer perceptrons; radial basis function networks; support vector machines; mixture models and the Expectation-Maximization algorithm; Bayesian methods; support vector machines, and Kohonen Networks. Case studies in bioinformatics and document categorization are included. Assignments offer students a sufficiently large space to explore neural networks and related pattern recognition techniques in terms of both theoretical issues and applications in the real world.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorAndrew Skabar
Available to Study Abroad StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites CSE3ISE (from 2009 CSE3CI)
Co-requisitesN/A
Incompatible subjects CSE4NN
Equivalent subjectsN/A
Special conditionsN/A
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