Refereed full papers (journals, book chapters, international conferences)

1999

@inproceedings{CMX1999,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Dorin Comaniciu and Peter Meer and Kin Xu and David
	Tyler},
	title =	{Retrieval Performance Improvement through Low Rank
	Corrections},
	booktitle =	{IEEE Workshop on Content-based Access of Image and Video
	Libraries (CBAIVL'99)},
	address =	{Fort Collins, Colorado, USA},
	pages =	{50--54},
	month =	{June~22},
	year =	{1999},
	url =	{http://www.caip.rutgers.edu/\~{}meer/RIUL/PAPERS/retrieval.ps.gz},
	abstract =	{Whenever a feature extracted from an image has a unimodal
	distribution, information about its covariance matrix can be exploited
	for content-based retrieval using as dissimilarity measure the
	Bhattacharyya distance. To reduce the amount of computations and the
	size of logical database entry, we approximate the Bhattacharyya
	distance taking into account that most of the energy in the feature
	space is often restricted to a low dimensional subspace. The theory was
	tested for a database of 1188 textures derived from VisTex with the
	local texture being represented by a 15-dimensional MRSAR feature
	vector. The retrieval performance improved significantly relative to
	the traditional, Mahalanobis distance based approach in spite of using
	only one or two dimensions in the approximation.},
}