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SSDBM
2005
IEEE
159views Database» more  SSDBM 2005»
14 years 1 months ago
Clustering Moving Objects via Medoid Clusterings
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
Hans-Peter Kriegel, Martin Pfeifle
SOCA
2010
IEEE
13 years 5 months ago
Weighted fuzzy clustering for capability-driven service aggregation
Abstract--Workflow design, mashup configuration, and composite service formation are examples where the capabilities of multiple simple services combined achieve a complex function...
Christoph Dorn, Schahram Dustdar
AIME
1997
Springer
13 years 11 months ago
Rule-Based Labeling of CT Head Image
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
Dubravko Cosic, Sven Loncaric
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
14 years 2 months ago
On fast surface reconstruction methods for large and noisy point clouds
— In this paper we present a method for fast surface reconstruction from large noisy datasets. Given an unorganized 3D point cloud, our algorithm recreates the underlying surface...
Zoltan Csaba Marton, Radu Bogdan Rusu, Michael Bee...
ICPR
2008
IEEE
14 years 2 months ago
A supervised learning approach for imbalanced data sets
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...