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» Using Clustering Methods for Discovering Event Structures
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122
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GVD
2009
128views Database» more  GVD 2009»
15 years 12 days ago
A Self-Adaptive Insert Strategy for Content-Based Multidimensional Database Storage
In this paper, we present the current development progress of our dynamic insert strategy based on the Intelligent Cluster Index (ICIx), which is a new type of multidimensional da...
Sebastian Leuoth, Wolfgang Benn
124
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ECCV
2006
Springer
16 years 4 months ago
Robust Multi-body Motion Tracking Using Commute Time Clustering
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
Huaijun Qiu, Edwin R. Hancock
ENTCS
2007
121views more  ENTCS 2007»
15 years 2 months ago
Incremental Parametric Development of Greedy Algorithms
The event B method provides a general framework for modelling both data structures and algorithms. B models are validated by discharging proof obligations ensuring safety properti...
Dominique Cansell, Dominique Méry
111
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ICIP
2009
IEEE
16 years 3 months ago
Exploiting Local Structure For Tracking Plant Cells In Noisy Images
In this paper, we present a local graph matching based method for tracking cells and cell divisions in noisy images. We work with plant cells, where the cells are tightly clustere...
131
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BMCBI
2010
109views more  BMCBI 2010»
15 years 2 months ago
Structural alphabets derived from attractors in conformational space
Background: The hierarchical and partially redundant nature of protein structures justifies the definition of frequently occurring conformations of short fragments as `states'...
Alessandro Pandini, Arianna Fornili, Jens Kleinjun...