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Publication
"Level set methods are a well-known means for the segmentation of objects in image data. In this paper, we discuss a class of easy to calculate terms based on distance measure...
COMPGEOM
2011
ACM
13 years 4 days ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
ICMCS
2006
IEEE
14 years 2 months ago
2006
IEEE
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
LREC
2010
13 years 10 months ago
2010
The performance of question answering system is evaluated through successive evaluations campaigns. A set of questions are given to the participating systems which are to find the...
COMPSAC
2005
IEEE
13 years 10 months ago
2005
IEEE
Experimental results of applying two similarity measurements, Euclidean distance and chord distance, to test a set of six Brodatz’s textures are reported. Experiments show that ...