ADC
2006
Springer
13 years 10 months ago
2006
Springer
Many strategies for similarity search in image databases assume a metric and quadratic form-based similarity model where an optimal lower bounding distance function exists for fil...
ACCV
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. We present an image segmentation technique using the morphological Waterfall algorithm. Improvements in the segmentation are brought about by using improved gradients. Th...
SISAP
2008
IEEE
13 years 11 months ago
2008
IEEE
Many contemporary database applications require similarity-based retrieval of complex objects where the only usable knowledge of its domain is determined by a metric distance func...
SISAP
2008
IEEE
13 years 11 months ago
2008
IEEE
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
SSD
2009
Springer
13 years 11 months ago
2009
Springer
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
CPM
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. A black box method was recently given that solves the problem of online approximate matching for a class of problems whose distance functions can be classified as being ...
ISBI
2009
IEEE
13 years 11 months ago
2009
IEEE
Understanding neural connectivity and structures in the brain requires detailed 3D anatomical models, and such an understanding is essential to the study of the nervous system. Ho...
CVPR
2010
IEEE
14 years 12 days ago
2010
IEEE
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...