"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...
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...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
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...
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...
Guillaume Bernard, Sophie Rosset, Martine Adda-Dec...
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 ...