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210
Voted
DNIS
2010
Springer
16 years 1 months ago
2010
Springer
In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
256
Voted
MOBIDE
2010
ACM
15 years 7 months ago
2010
ACM
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
202
Voted
ESOA
2006
15 years 11 months ago
2006
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
205
Voted
IAT
2009
IEEE
16 years 2 months ago
2009
IEEE
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
170
Voted
ICRA
2007
IEEE
16 years 1 months ago
2007
IEEE
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...