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UEA appoints top BT industrial Scientist as visiting professor

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Quadram Institute's £400,000 boost from Big C

Norwich Research Park’s (NRP) planned Quadram Institute (QI) partners received a huge boost to help mark the launch of a £3 million fundraising campaign with an opening £400,000 donation from Big C. “This significant donation is a tremendous contribution and kick starts the appeal we are launching to help meet QI’s £75 million building costs,” said Prof David Richardson, Vice-Chancellor at the University of East Anglia (UEA). “Big C are the first donors to support the development of the...

HIVE-COTE: The Hierarchical Vote Collective of Transformation-based Ensembles for Time Series Classification

The paper " HIVE-COTE: The Hierarchical Vote Collective of Transformation-based Ensembles for Time Series Classification" by Jason Lines, Sarah Taylor and Anthony Bagnall has been accepted for publication in The IEEE International Conference on Data Mining (ICDM) 2016. ICDM is one of two premier research conferences in data mining and has an acceptance rate of less than 20%

UEA research enables enhancement of TV pictures for colour-blind viewers

One in twelve men and one in two hundred women suffer from colour blindness, and tomorrow (Tuesday 6 September) is Colour Blind Awareness Day. NGO Colour Blind Awareness is aiming to raise the profile of the condition by asking people with colour blindness to tweet #Iam1in12 or #Iam1in 200. Colour blindness can make certain aspects of everyday life more challenging – but Cambridge-based company Spectral Edge has developed a system, called Eyeteq , that enhances images...

Paper accepted for Data Mining and Knowledge Discovery

The paper “The Great Time Series Classification Bake Off: a Review and Experimental Evaluation of Recent Algorithmic Advances”, by Tony Bagnall, Jason Lines, Aaron Bostrom, James Large and Eamonn Keogh (UCR) has been accepted for publication in Data Mining and Knowledge Discovery, the premier journal for data mining research. The paper describes one of the most extensive experimental evaluation of algorithms ever conducted in Machine Learning. We compared 18 recently proposed algorithms for...