1959 search results - page 178 / 392 » Multiple Kernel Clustering. |
FTML
2010
14 years 11 months ago
2010
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
85
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
122
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
93
Voted
CCGRID
2003
IEEE
15 years 6 months ago
2003
IEEE
I/O bottlenecks are already a problem in many largescale applications that manipulate huge datasets. This problem is expected to get worse as applications get larger, and the I/O ...
122
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IPPS
2002
IEEE
15 years 5 months ago
2002
IEEE
In the sub-micron technology era, wire delays are becoming much more important than gate delays, making it particularly attractive to go for clustered designs. A common form of cl...