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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

About Bangor Univeristy 

Bangor University offers an experience unlike any other. Based between the mountains and the sea in North Wales, our campus is surrounded by a breathtaking natural landscape. We offer the highest quality teaching in a supportive learning environment with courses across the arts, humanities and sciences to choose from.

As a university that provides strong support for research activities, there are several subject related specialist resources such as a research vessel, MRI Scanner, climatic chamber, Natural History Museum and Botanical Gardens. You too can be a part of impactful research at Bangor with the university being …

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