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COMPGEOM
2011
ACM
14 years 4 months ago
Comparing distributions and shapes using the kernel distance
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...
SCIA
2005
Springer
117views Image Analysis» more  SCIA 2005»
15 years 6 months ago
Mapping Perceptual Texture Similarity for Image Retrieval
Images are being produced and made available in ever increasing numbers; but how can we find images "like this one" that are of interest to us? Many different systems hav...
Janet S. Payne, T. John Stonham
92
Voted
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 18 days ago
Information Distance
While Kolmogorov complexity is the accepted absolute measure of information content in an individual finite object, a similarly absolute notion is needed for the information distan...
Charles H. Bennett, Péter Gács, Ming...
94
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VLDB
1990
ACM
74views Database» more  VLDB 1990»
15 years 4 months ago
Query Processing for Distance Metrics
In applications such as vision and molecular biology, a common problem is to find the similar objects to a given target (according to some distance measure) in a large database. T...
Jason Tsong-Li Wang, Dennis Shasha
IJCGA
2008
179views more  IJCGA 2008»
15 years 15 days ago
Computing the Hausdorff Distance between Curved Objects
The Hausdorff distance between two sets of curves is a measure for the similarity of these objects and therefore an interesting feature in shape recognition. If the curves are alg...
Helmut Alt, Ludmila Scharf