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Pattern Recognition/Classifiers PhD

Bangor University

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Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    Bangor University

  • Study mode

    Full time

  • Start date

    SEP-21

  • Duration

    3 years

Course summary

About This Course

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.

Application deadline

11 June 2021

Tuition fees

Students living in United States
(international fees)

Information not available

Please check with the institution for most up to date details.

University information

Bangor University

  • University League Table

    62nd

  • Campus address

    Bangor University, Bangor (Wales), LL57 2DG, Wales

Subject rankings

  • Subject ranking

    49th out of 113 7

  • Entry standards

    / Max 236
    110 49%

    94th

    13
  • Graduate prospects

    / Max 100
    94 94%

    12th

    45
  • Student satisfaction

    / Max 5
    3.78 76%

    90th

    55

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