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  Investigation on integrating texts in document recognition
  Dr Q Wang, Prof Y Huang, Dr Y Goulermas
Applications accepted all year round
Chinese document recognition technology has achieved tremendous advance in recent years, however, it has not been solved yet for the documents of free handwriting or complicated background, where the recognition performance is not good enough for the industrial application, and is far away from human recognition.
  Automatic micro and mixed emotion recognition system for Human-robot interaction (Advert Reference: SF18/CIS/MISTRY)
  Dr K Mistry
Applications accepted all year round
Facial expression is one of the most effective means for human beings to indicate emotions, feelings and intentions. Literature shows that facial expression contributed to about 55% effect of overall emotion expression during social interactions.
  Genetic basis of extracellular potato blight recognition in wild Solanum sp.
  Prof R Van der Hoorn
Applications accepted all year round
Potato late blight has caused the devastating Irish potato famine in the 1840s and is still an important pathogen in agriculture today.
  A high-throughput sugar-recognition immunoassay for early and accurate prostate cancer
  Research Group: Cancer research
  Dr P Mendes, Dr M Drayson
Application Deadline: 31 March 2019
Prostate cancer is one of the most common types of cancer in men and claims over 350,000 lives worldwide every year. Early and accurate detection is critical to improve patient survival.
  A high-throughput sugar-recognition immunoassay for early and accurate prostate cancer
  Research Group: Cancer research
  Dr P Mendes, Dr M Drayson
Application Deadline: 31 March 2019
Prostate cancer is one of the most common types of cancer in men and claims over 350,000 lives worldwide every year. Early and accurate detection is critical to improve patient survival.
  Two-stream Machine Learning Architecture based on Deep Learning and HMM for Person Recognition in Images/Videos
  Dr JC Nebel
Applications accepted all year round
The development of deep learning CNN architectures has led to remarkable progress in the field of computer vision. As a consequence, successful systems are now available for real world applications in a variety of areas including visual surveillance, sports analysis, gaming and security.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round
Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Object recognition regardless of Depiction
  Prof P Hall
Application Deadline: 1 April 2019
Object recognition is a well-established area of Visual Computing, with performance rates quoted well above 90%. However, all algorithms to date train and text almost exclusively on photographs; all, including neural architectures, suffer a significant fall in performance when artwork in included [1].
  Automatic Emotion Detection, Analysis and Recognition.
  Dr K Chen
Applications accepted all year round
Affective computing is a branch of Artificial Intelligence that relates to, arises from, or deliberately influences emotion and other affective phenomena.
  Fluency and Context in Recognition Memory
  Dr J Taylor, Dr D Talmi
Applications accepted all year round
This project relates to a sort of ‘memory illusion’. On a recognition memory test, increasing the perceptual fluency of a test cue increases the likelihood that the word will be endorsed as ‘familiar’, even if it hasn’t been seen in the study phase (and therefore should have been called ‘new’).
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