Support Vector Machine
For queries about this topic, contact Rosanna Upstill-Goddard.
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Projects
Automatic Image Retrieval with Soft Biometrics for Surveillance
Mark Nixon, John Carter (Investigators), Daniel Martinho-Corbishley
We're investigating ways to automatically describe and identify pedestrians from surveillance footage using human understandable, soft biometric labels. Our goal is to enable surveillance operators to search for pedestrians in a video network using soft biometric descriptions, and to automatically retrieve these descriptions from CCTV images.
Centre for Doctoral Training in Next Generation Computational Modelling
Hans Fangohr, Ian Hawke, Peter Horak (Investigators), Susanne Ufermann Fangohr, Thorsten Wittemeier, Kieran Selvon, Alvaro Perez-Diaz, David Lusher, Ashley Setter, Emanuele Zappia, Hossam Ragheb, Ryan Pepper, Stephen Gow, Jan Kamenik, Paul Chambers, Robert Entwistle, Rory Brown, Joshua Greenhalgh, James Harrison, Jonathon Waters, Ioannis Begleris, Craig Rafter
The £10million Centre for Doctoral Training was launched in November 2013 and is jointly funded by EPSRC, the University of Southampton, and its partners.
The NGCM brings together world-class simulation modelling research activities from across the University of Southampton and hosts a 4-year doctoral training programme that is the first of its kind in the UK.
Deep Optimisation
Jamie Caldwell
The project will develop the implementation and application of a new optimisation technique. 'Deep optimisation' combines deep learning techniques in neural networks with distributed optimisation methods to create a dynamically re-scalable optimisation process. This project will develop this technique to better-understand its capabilities and limitations and develop GPU implementations. The protein structure prediction problem will be used as the main test application.
Genetic studies to characterise the role of genetic factors in early-onset breast cancer
Andrew Collins (Investigator), Rosanna Upstill-Goddard
Breast cancer is a highly heterogeneous disease, with many distinct subtypes. In the majority of breast cancer cases the causative genetic component is poorly characterised. This study aims to explore both rare and common mutations in early-onset breast cancer patients and the contribution of such variants to disease using a variety of analytic approaches.
People
Professor, Medicine (FM)
Professor, Engineering Sciences (FEE)
Professor, Electronics and Computer Science (FPAS)
Reader, Optoelectronics Research Centre
Senior Lecturer, Electronics and Computer Science (FPAS)
Lecturer, Management (FBL)
Lecturer, Mathematics (FSHS)
Research Fellow, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Mathematics (FSHS)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Administrative Staff, Civil Engineering & the Environment (FEE)
Alumnus, University of Southampton
Alumnus, Psychology (FSHS)
None, None
None, None
None, None