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» An overview of clustering methods
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JSW
2007
107views more  JSW 2007»
15 years 6 months ago
Reducing Domain Level Scenarios to Test Component-based Software
—Higher-order black box software tests against independent end user domain requirements has become an issue of increasing importance with compositional reuse of software artifact...
Oliver Skroch, Klaus Turowski
SIGKDD
2000
139views more  SIGKDD 2000»
15 years 6 months ago
Support Vector Machines: Hype or Hallelujah?
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Kristin P. Bennett, Colin Campbell
ICCV
2009
IEEE
1119views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Spectral clustering of linear subspaces for motion segmentation
This paper studies automatic segmentation of multiple motions from tracked feature points through spectral embedding and clustering of linear subspaces. We show that the dimensi...
Fabien Lauer, Christoph Schn¨orr
DASFAA
2009
IEEE
115views Database» more  DASFAA 2009»
16 years 1 months ago
TRUSTER: TRajectory Data Processing on ClUSTERs
With the continued advancements in location-based services involved infrastructures, large amount of time-based location data are quickly accumulated. Distributed processing techni...
Bin Yang 0002, Qiang Ma, Weining Qian, Aoying Zhou
ICPR
2008
IEEE
16 years 1 months ago
Constrained clustering by a novel graph-based distance transformation
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
Kai Rothaus, Xiaoyi Jiang