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SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 4 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
CIKM
2007
Springer
16 years 1 months ago
Modeling historical and future movements of spatio-temporal objects in moving objects databases
Spatio-temporal databases deal with geometries changing over time. In general, geometries do not only change discretely but continuously; hence we are dealing with moving objects....
Reasey Praing, Markus Schneider
EDBTW
2006
Springer
15 years 10 months ago
Preference-Driven Querying of Inconsistent Relational Databases
One of the goals of cleaning an inconsistent database is to remove conflicts between tuples. Typically, the user specifies how the conflicts should be resolved. Sometimes this spec...
Slawomir Staworko, Jan Chomicki, Jerzy Marcinkowsk...
DAGM
2006
Springer
15 years 9 months ago
Phase Based 3D Texture Features
In this paper, we present a novel method for the voxel-wise extraction of rotation and gray-scale invariant features. These features are used for simultaneous segmentation and clas...
Janis Fehr, Hans Burkhardt
JUCS
2007
136views more  JUCS 2007»
15 years 6 months ago
VCA: An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks
: Clustering provides an effective mechanism for energy-efficient data delivery in wireless sensor networks. To reduce communication cost, most clustering algorithms rely on a sens...
Min Qin, Roger Zimmermann