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KAIS
2007
75views more  KAIS 2007»
15 years 4 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
TVCG
2010
147views more  TVCG 2010»
15 years 2 months ago
Edge Aware Anisotropic Diffusion for 3D Scalar Data
—In this paper we present a novel anisotropic diffusion model targeted for 3D scalar field data. Our model preserves material boundaries as well as fine tubular structures whil...
Zahid Hossain, Torsten Möller
ICST
2010
IEEE
15 years 2 months ago
Timed Moore Automata: Test Data Generation and Model Checking
Abstract—In this paper we introduce Timed Moore Automata, a specification formalism which is used in industrial train control applications for specifying the real-time behavior ...
Helge Löding, Jan Peleska
PPOPP
2010
ACM
16 years 1 months ago
Scalable communication protocols for dynamic sparse data exchange
Many large-scale parallel programs follow a bulk synchronous parallel (BSP) structure with distinct computation and communication phases. Although the communication phase in such ...
Torsten Hoefler, Christian Siebert, Andrew Lumsdai...
KDD
2003
ACM
144views Data Mining» more  KDD 2003»
16 years 4 months ago
Clinical and financial outcomes analysis with existing hospital patient records
Existing patient records are a valuable resource for automated outcomes analysis and knowledge discovery. However, key clinical data in these records is typically recorded in unst...
R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Ni...