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

2003

@article{KKI2003,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Joni-Kristian Kamarainen and Ville Kyrki and Jarmo Ilonen
	and Heikki K\"{a}lvi\"{a}inen},
	title =	{Improving similarity measures of histograms using
	smoothing projections},
	journal =	{Pattern Recognition Letters},
	volume =	{24},
	number =	{12},
	pages =	{2009--2019},
	month =	{August},
	year =	{2003},
	url =	{http://dx.doi.org/10.1016/S0167-8655(03)00039-4},
	abstract =	{Selection of a proper similarity measure is an essential
	consideration for a success of many methods. In this study, similarity
	measures are analyzed in the context of ordered histogram type data,
	such as gray-level histograms of digital images or color spectra.
	Furthermore, the performance of the studied similarity measures can be
	improved using a smoothing projection, called neighbor-bank projection.
	Especially, with distance functions utilizing statistical properties of
	data, e.g., the Mahalanobis distance, a significant improvement was
	achieved in the classification experiments on real data sets, resulting
	from the use of a priori information related to ordered data. The
	proposed projection seems also to be applicable for dimensional
	reduction of histograms and to represent sparse data in a more tight
	form in the projection subspace.},
}