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Bangor University: Pattern Recognition/Classifiers

Institution Bangor University View institution profile
Department School of Computer Science and Electronic Engineering
Web postgraduate.bangor.ac.uk
Study type Research

Summary

Pattern recognition is a very active field of research intimately bound to machine learning and data mining. Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input pattern. An input could be the ZIP code on an envelope, a satellite image, microarray gene expression data, a chemical signature of an oil-field probe, a financial record of a company and many more. The classifier may take a form of a function, an algorithm, a set of rules, etc. Pattern recognition is about training such classifiers to do tasks that could be tedious, dangerous, infeasible, impractical, expensive or simply difficult for humans. Pattern recognition faces many challenges in the modern era of massive data collection (e.g. in retail, communication and Internet) and high demand for precision and speed (e.g. in security monitoring and target tracking). New methodologies are needed to answer these application-born challenges.

Doctor of Philosophy - PhD

Master of Philosophy - MPhil

Bangor University

Between the mountains and the sea in North Wales, Bangor University’s campus is surrounded by a breathtaking natural landscape. Bangor offers the highest quality teaching in a supportive learning environment with courses across the arts, humanities and sciences. Most postgraduate taught courses are offered on a full-time and part-time basis, allowing you to fit your studies around your life. In addition, the selection of distance learning courses, as well as ‘blended’ courses that combine remote and face-to-face study opportunities allow for further personalisation.

Bangor University provides strong support for research activities, and there are several subject related specialist resources …

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