CVPR
2009
IEEE
13 years 10 months ago
2009
IEEE
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
WOA
2010
13 years 10 months ago
2010
This paper presents a novel approach for resource finding and job allocation in a computational Grid. The proposed system is called HYGRA, for HYperspace-based Grid Resource Alloca...
VLDB
2002
ACM
14 years 1 days ago
2002
ACM
The problem of indexing time series has attracted much interest. Most algorithms used to index time series utilize the Euclidean distance or some variation thereof. However, it has...
TIT
1998
14 years 2 days ago
1998
—A length n group code over a group G is a subgroup of Gn under component-wise group operation. Group codes over dihedral groups DM, with 2M elements, that are two-level construc...
IPL
2007
14 years 6 days ago
2007
The Euclidean distance transform of a binary image is the function that assigns to every pixel the Euclidean distance to the background. The Euclidean feature transform is the fun...
PAMI
2000
14 years 6 days ago
2000
COMGEO
2007
ACM
14 years 13 days ago
2007
ACM
In this paper we investigate the relations between spanners, weak spanners, and power spanners in RD for any dimension D and apply our results to topology control in wireless netw...
ALGORITHMICA
2010
14 years 17 days ago
2010
We study the merging process when Kruskal's algorithm is run with random graphs as inputs. Our aim is to analyze this process when the underlying graph is the complete graph ...
SDM
2004
SIAM
14 years 1 months ago
2004
SIAM
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
COMPSAC
2005
IEEE
14 years 2 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 ...