Discovery Early Career Researcher Award - Grant ID: DE120101161

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DE120101161

Funding Status
Closed

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Funded Activity Summary

Compressive sensing based probabilistic graphical models (PGM). The aim of the project is to develop fast, large scale probabilistic graphical models (PGM) learning and inference methods. The resulting system will be able to process large scale PGMs on a standard PC, and will be easily extendable to computer clustering for larger scale PGMs requiring higher precision.

Funded Activity Details

Start Date: 01-2012

End Date: 06-2017

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $375,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Information Services not elsewhere classified |

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