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關於課程
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.
Programme Length - PhD: 3 years full-time, MPhil: 2 years full-time
Programme Length - PhD: 3 years full-time, MPhil: 2 years full-time
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開始日期及學費
如何申請
Entry requirements for 班戈大學
An overall score of IELTS 6.0. A good honours degree or equivalent is required.
English language requirements
托福(TOEFL iBT)總分: 75.0
最後申請期限:
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