601 search results - page 43 / 121 » Measurable sets with excluded distances |
SSDBM
2010
IEEE
14 years 2 months ago
2010
IEEE
Similarity search and similarity join on strings are important for applications such as duplicate detection, error detection, data cleansing, or comparison of biological sequences....
ISAAC
2009
Springer
14 years 4 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
ISMIR
2005
Springer
14 years 3 months ago
2005
Springer
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we propose a novel 3D shape based met...
VLDB
2002
ACM
14 years 10 months ago
2002
ACM
We propose a new data structure to search in metric spaces. A metric space is formed by a collection of objects and a distance function de ned among them, which satis es the trian...