UNSW Handbook Course - Pattern Classification

Pattern Classification - COMP9515


	Faculty: Faculty of Engineering
	School: School of Computer Science and Engineering
	Course Outline: http://www.cse.unsw.edu.au/
	Campus: Kensington Campus
	Career: Postgraduate
	Units of Credit: 6
	EFTSL: 0.125 (more info)
	Contact Hours per Week: 3
	Enrolment Requirements:
	Prerequisite: COMP9024 or enrolment in MIT program 8684 or GradCert program 7344.
	Fee Band: 2 (more info)
	Further Information: See Class Timetable

Description

The course has three basic aims: firstly to understand the field of pattern recognition in general, secondly to get familiar with pattern recognition techniques, and thirdly to obtain the ability to apply techniques to applications.

This course is an introduction to the subject of pattern recognition. We will cover theoretical foundations of classification and pattern recognition and discuss applications in character, speech, and other applications. A tentative list of topics includes: Bayesian decision theory, discriminate functions for normal class distributions, supervised learning, unsupervised learning and clustering, Structural and Syntactic pattern recognition, Edit distance, String matching, Statistical pattern recognition, and neural pattern recognition.
Assumed Knowledge for PG: MATH2859 or MATH2801 or MATH2901 or statistical course equivalent.

Further Information

CSE class page: www.cse.unsw.edu.au/~cs9515

URL for this page:

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