back up noncorrelated suppression
fix the way createData.m generate images' names
first step in tracking using correlation, debugged
remove orientation estimation due to replicated blobs. Make frames use unoriented ellipse format, for the cosmetic display purpose only
comment out the cosmetic frame format changes to save some computation
finish debugging tracking of descriptors
backup until calculation of the covariance matrix
finish implementing weighted frequency vectors
add kmeans_mahal.m
finish changing from L2 to mahalanobis distance
add mahal_dist.m
fix a bug to use weighted frequency vector instead of count vector
add demo.m
change from hellinger distance to normalized scalar product
fix a bug due to results being displayed from the least to the most relevance
adjust tf-idf to avoid division by zero
fix the seed to test different methods
add tfidf.m. reuse mahal_dist. ignore frames with trivial words
change kmeans from while(1) loop to maxIter
account for track 0 in the visual dictionary