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

2002

@inproceedings{CaY2002,
	vgclass =	{refpap},
	author =	{Abdurrahman Carkacioglu and Fatos Yarman-Vural},
	title =	{Learning Similarity Space},
	booktitle =	{IEEE 2002 International Conference on Image Processing
	(ICIP 2002)},
	address =	{Rochester, N.Y., U.S.A.},
	month =	{22--25~September},
	year =	{2002},
	url =	{http://www.ceng.metu.edu.tr/\~{}carkaci/icip02.pdf},
	url1 =	{http://www.ceng.metu.edu.tr/\~{}carkaci/icip02.ps},
	abstract =	{In this study, we suggest a method to adapt an image
	retrieval system into a configurable one. Basically, original feature
	space of a content-based retrieval system is nonlinearly transformed
	into a new space, where the distance between the feature vectors is
	adjusted by learning. The transformation is realized by Artificial
	Neural Network architecture. A cost function is defined for learning
	and optimized by simulated annealing method. Experiments are done on
	the texture image retrieval system, which use Gabor Filter features.
	The results indicate that configured image retrieval system is
	significantly better than the original system.},
}