Research output per year
Research output per year
Project Details
Description
The SpaRTaN Initial Training Network will train a new generation of interdisciplinary researchers in sparse representations and compressed sensing, contributing to Europe’s leading role in scientific innovation.
By bringing together leading academic and industry groups with expertise in sparse representations, compressed sensing, machine learning and optimisation, and with an interest in applications such as hyperspectral imaging, audio signal processing and video analytics, this project will create an interdisciplinary, trans-national and inter-sectorial training network to enhance mobility and training of researchers in this area.
SpaRTaN is funded under the FP7-PEOPLE-2013-ITN call and is part of the Marie Curie Actions — Initial Training Networks (ITN) funding scheme: Project number - 607290
By bringing together leading academic and industry groups with expertise in sparse representations, compressed sensing, machine learning and optimisation, and with an interest in applications such as hyperspectral imaging, audio signal processing and video analytics, this project will create an interdisciplinary, trans-national and inter-sectorial training network to enhance mobility and training of researchers in this area.
SpaRTaN is funded under the FP7-PEOPLE-2013-ITN call and is part of the Marie Curie Actions — Initial Training Networks (ITN) funding scheme: Project number - 607290
| Acronym | SpaRTaN |
|---|---|
| Status | Finished |
| Effective start/end date | 1/10/14 → 30/09/18 |
| Links | http://www.spartan-itn.eu/ |
Funding
- EU government bodies: £246,355.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Model-Based Super-Resolution Reconstruction of T2 Maps
Bano, W., Piredda, G. F., Davies, M., Marshall, I., Golbabaee, M., Kober, T., Thiran, J.-P., Meuli, R. & Hilbert, T., 13 Sept 2019, (E-pub ahead of print) In: Magnetic Resonance in Medicine.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
The role of invariance in spectral complexity-based generalization bounds
Pitas, K., Loukas, A., Davies, M. & Vandergheynst, P., 23 May 2019.Research output: Contribution to conference › Paper › peer-review
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The clinical condition to be assessed by radiological assessment significantly influences the radiological scores of Compressed Sensing accelerated 3D brain MRI
Benjamin, A. J. V., Bano, W., Mair, G., Thompson, G., Davies, M. & Marshall, I., 26 Apr 2019.Research output: Contribution to conference › Abstract › peer-review
Open AccessFile