Monday, October 13, 2008

kNN with Unclustered Test points

In this the image is divided into 4 quadrants.
Test Data: SIFT key points in each quadrant is used as test points.
Training Data: The SIFT key points from the other quadrants are used to train the classifier. The negative examples are clustered so that the dataset is more balanced.

The statistics about points in each fold is
Fold 1
Training points Total = 5027, Positive points = 2119
Test points Total = 28216, Positive points = 848
Test Result: Positive fold

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