Discovery Projects - Grant ID: DP0345225

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP0345225

Funding Status
Closed

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Funded Activity Summary

Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since in an arbitrary distance metric the intersection between the k-nn sphere and the bounding envelopes of nodes in an index tree cannot be easily calculated. This project aims to seek a novel solution. It will create a great impact on and have many applications in high dimensional visual information retrieval, instance-based learning, complex analysis, non-parametric density estimation, etc.

Funded Activity Details

Start Date: 09-01-2003

End Date: 12-04-2007

Funding Scheme: Discovery Projects

Funding Amount: $155,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Information Storage, Retrieval And Management | Information Systems Development Methodologies

ANZSRC Socio-Economic Objective (SEO)

Information processing services |

Other Keywords

Information Storage, Retrieval And Management | Information Systems | Information Systems Development Methodologies | Information processing services

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