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» Detecting critical regions in multidimensional data sets
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ICPP
2000
IEEE
14 years 1 days ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
TITB
2008
152views more  TITB 2008»
13 years 7 months ago
Region of Interest and Multiresolution for Volume Rendering
Medical image interpretation is facing an important challenge resulting from the continuously increasing amount of imaging data. Innovations in medical image visualization are nece...
Sébastien Piccand, Rita Noumeir, Eric Paque...
ICPR
2008
IEEE
14 years 8 months ago
Detecting and ordering salient regions for efficient browsing
We describe an ensemble approach to learning1 salient regions from data partitioned according to the2 distributed processing requirements of large-scale sim-3 ulations. The volume...
Larry Shoemaker, Robert E. Banfield, Larry O. Hall...
MMM
2009
Springer
151views Multimedia» more  MMM 2009»
14 years 4 months ago
Large Scale Concept Detection in Video Using a Region Thesaurus
This paper presents an approach on high-level feature detection within video documents, using a Region Thesaurus. A video shot is represented by a single keyframe and MPEG-7 featur...
Evaggelos Spyrou, Giorgos Tolias, Yannis S. Avrith...
CIKM
2009
Springer
13 years 11 months ago
Multidimensional routing indices for efficient distributed query processing
Traditional routing indices in peer-to-peer (P2P) networks are mainly designed for document retrieval applications and maintain aggregated one-dimensional values representing the ...
Christos Doulkeridis, Akrivi Vlachou, Kjetil N&osl...