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TKDE
2011
332views more  TKDE 2011»
15 years 1 months ago
Adaptive Cluster Distance Bounding for High-Dimensional Indexing
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
Sharadh Ramaswamy, Kenneth Rose
DIAL
2006
IEEE
146views Image Analysis» more  DIAL 2006»
15 years 8 months ago
Distance Measures for Layout-Based Document Image Retrieval
Most methods for document image retrieval rely solely on text information to find similar documents. This paper describes a way to use layout information for document image retrie...
Joost van Beusekom, Daniel Keysers, Faisal Shafait...
ICML
2005
IEEE
16 years 7 months ago
A new Mallows distance based metric for comparing clusterings
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
Ding Zhou, Jia Li, Hongyuan Zha
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 6 months ago
Formulating distance functions via the kernel trick
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...
Gang Wu, Edward Y. Chang, Navneet Panda
PG
2002
IEEE
15 years 11 months ago
Computing Distances between Surfaces Using Line Geometry
We present an algorithm for computing the distance between two free-form surfaces. Using line geometry, the distance computation is reformulated as a simple instance of a surface-...
Kyung-Ah Sohn, Bert Jüttler, Myung-Soo Kim, W...