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Electrical & Electronic (information retrieval) PhD Projects, Programs & Scholarships

We have 5 Electrical & Electronic (information retrieval) PhD Projects, Programs & Scholarships

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  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc.
  Deep learning for Image and Video Processing and Information Retrieval
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

In the age of large scale automation and data explosion, deep learning offers means to process unstructured image data and allow us to receive a large amount of information.
  Zero-Shot Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets.
  Multi-view approaches for content-based image clustering
  Prof X Hong, Dr H Wei, Prof J Ferryman
Applications accepted all year round

Funding Type

PhD Type

Human and animal learning are naturally in the so-called semi-supervised mode of learning, i.e. with a limited teaching but more of self-training experiments.
  ‘Vowel matching’ in chorus singing
  Research Group: Communication Technologies
  Dr H Daffern
Applications accepted all year round

Funding Type

PhD Type

Modifying vowels is a common technique employed by singers when singing as a group to maximise the blended quality of the sound. Whilst there is natural variation of vowels between speakers and singers, a conscious effort is made to match the quality of vowels between singers.
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