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www.cs.ucr.edu/~eamonn/CE/contest.htm

"Dr. Keoghs lab is hosting a contest to create a similarity measure for insect flight sounds (there is anecdotal evidence that music similarity algorithms may work). 

If we could correctly identify insects using cheap sensors, we could:
1) Plan malaria interventions more effectively, perhaps saving some of the million human lives lost each year.
2) Plan insect pest crop interventions more effectively, thus growing more food with less pollution, less energy, less environmental damage etc.”

Phase I: July to November 16th 2012
• The task is to produce the best distance (similarity) measure for insect flight sounds.
• The contest will be scored by 1-nearest neighbor classification.