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» User Adaptive Clustering for Large Image Databases
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SCFBM
2008
119views more  SCFBM 2008»
15 years 1 months ago
OSPACS: Ultrasound image management system
Background: Ultrasound scanning uses the medical imaging format, DICOM, for electronically storing the images and data associated with a particular scan. Large health care facilit...
Will Stott, Andy Ryan, Ian J. Jacobs, Usha Menon, ...
EXPDB
2006
ACM
15 years 8 months ago
Performance Study of Rollout for Multi Dimensional Clustered Tables in DB2
In data warehousing applications, the ability to efficiently delete large chunks of data from a table is very important. This feature is also known as Rollout. Rollout is generall...
Bishwaranjan Bhattacharjee
ICDE
2007
IEEE
128views Database» more  ICDE 2007»
16 years 3 months ago
SD-Rtree: A Scalable Distributed Rtree
We propose a scalable distributed data structure (SDDS) called SD-Rtree. We intend our structure for point and window queries over possibly large spatial datasets distributed on c...
Cédric du Mouza, Philippe Rigaux, Witold Li...
ESWS
2008
Springer
15 years 3 months ago
Instance Based Clustering of Semantic Web Resources
Abstract. The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue t...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
CVPR
2008
IEEE
16 years 4 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán