255 search results - page 41 / 51 » An Efficient Euclidean Distance Transform |
ICDAR
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper describes a skeletonization process for grayscale or color images based on the diffusion of the color gradient vectors by using a simple iterative regularization scheme...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
JCST
2008
14 years 10 months ago
2008
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
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CORR
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. CAT(0) metric spaces constitute a far-reaching common generalization of Euclidean and hyperbolic spaces and simple polygons: any two points x and y of a CAT(0) metric spa...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...