Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140102164
Funding Status
Closed
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Funded Activity Summary
Nonlinear Transfer Distance Metric Learning for Gleaning Knowledge from the Crowd. This project will develop nonlinear transfer distance metric learning algorithms for training and test samples that are not independent and identically distributed, or from different instance spaces. New theoretical foundations for crowd-sourcing will lead to innovative intelligent systems for such purposes as the NBN, social, and security services, and keep pace with developments in hardware technology. The outcomes include applications in social networks, the Internet, and climate change, as well as video surveillance to help combat crime and terrorism. The innovative research will significantly benefit Australia’s economy, environment and society, and will maintain Australia's global leading role in the machine learning and computer vision.Funded Activity Details
Start Date: 2014
End Date: 12-2017
Funding Scheme: Discovery Projects
Funding Amount: $400,000.00
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)
Expanding Knowledge in the Information and Computing Sciences | Film and Video Services (excl. Animation and Computer Generated Imagery) |
