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Monthly Archives: December 2013

Automated analysis of multi-modal medical data using deep belief networks (DP140102794)

Dr Gustavo  Carniero has won a 3 year ARC Discovery Grant valued at $295,000. The project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a […]

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Online Learning for Large Scale Structured Data in Complex Situation (DP140102270)

ACVT has been awarded a 3 year ARC Discovery Grant valued at  $380,787. The project will be led by Dr Qinfeng Shi and will include collaboration with Charles Sturt University and the University of Southampton. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in […]

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Text to imageworld: Postdoctoral position in medical image analysis

Automated analysis of multi-modal medical data Australian Centre for Visual Technologies University of Adelaide, Australia and School of Information Science and Electrical Engineering University of Queensland, Australia Duration: 2 years The Australian Centre for Visual Technologies (ACVT) is one of the largest computer vision and image analysis research groups in Australia. Based in Adelaide, we […]

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Post-doctoral Research Fellowship in Online Learning and Graphical Models – 2 year position now available

Post-Doctoral Research Fellowship Online Learning for Large Scale Structured Data in Complex Situations Australian Centre for Visual Technologies, University of Adelaide, Australia (www.acvt.com.au) Duration: 2 years (renewable) The project is run by Dr Qinfeng (Javen) Shi. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention […]

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The Australian Centre for Visual Technologies
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Level 5, Ingkarni Wardli,
The University of Adelaide,
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