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Bangor University: Pattern Recognition/Classifiers

Institution Bangor University View institution profile
Department School of Computer Science and Engineering View department profile
Study type Research


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.

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Welcome to the School of Computer Science and Engineering

Opportunities abound for students wishing to learn about the latest developments in computing and electronic technologies at Bangor University. We have a great reputation for helpful, caring staff who undertake world-leading research.  We have around 400 undergraduate students and our graduate school boasts 200+ students across all our disciplines. 

Research excellence

Our staff figure among the world leaders in a broad range of technologies, from Artificial Intelligence and Pattern Recognition to Data Visualisation; Medical Microwave Electronics and Medical Simulation; Optolectronics, Broadband and Optical Communications; Organic Electronics; Nanotechnology; Nuclear Engineering and more. …

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