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» Expectation-MiniMax Approach to Clustering Analysis
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BMCBI
2007
207views more  BMCBI 2007»
15 years 1 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
MMM
2010
Springer
157views Multimedia» more  MMM 2010»
15 years 10 months ago
A Novel Trajectory Clustering Approach for Motion Segmentation
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
Matthias Zeppelzauer, Maia Zaharieva, Dalibor Mitr...
ISPA
2004
Springer
15 years 7 months ago
Highly Reliable Linux HPC Clusters: Self-Awareness Approach
Abstract. Current solutions for fault-tolerance in HPC systems focus on dealing with the result of a failure. However, most are unable to handle runtime system configuration change...
Chokchai Leangsuksun, Tong Liu, Yudan Liu, Stephen...
EUROPAR
2008
Springer
15 years 3 months ago
Mapping Heterogeneous Distributed Applications on Clusters
Performance of distributed applications largely depends on the mapping of their components on the underlying architecture. On one mponent-based approaches provide an abstraction su...
Sylvain Jubertie, Emmanuel Melin, Jér&eacut...
IS
2010
15 years 12 days ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...