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118
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ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
120
Voted
MLDM
2005
Springer
15 years 9 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
139
Voted
APWEB
2005
Springer
15 years 9 months ago
2005
Springer
This paper presents a new method for visualizing and navigating huge graphs. The main feature of this method is that it applies Level-Of-Detail (LOD) strategy to graph visualizati...
121
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ICIP
2002
IEEE
16 years 5 months ago
2002
IEEE
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
110
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ICMCS
1999
IEEE
15 years 7 months ago
1999
IEEE
In accessing large collections of digitized videos, it is often difficult to find both the appropriate video file and the portion of the video that is of interest. This paper descr...