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FTML
2010
159views more  FTML 2010»
13 years 9 months ago
Dimension Reduction: A Guided Tour
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...
Christopher J. C. Burges
ICASSP
2011
IEEE
13 years 2 months ago
Adaptive N-normalization for enhancing music similarity
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...
Mathieu Lagrange, George Tzanetakis
CVPR
2008
IEEE
15 years 23 days ago
Semi-supervised SVM batch mode active learning for image retrieval
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...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
CCGRID
2003
IEEE
14 years 4 months ago
Discretionary Caching for I/O on Clusters
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 ...
Murali Vilayannur, Anand Sivasubramaniam, Mahmut T...
IPPS
2002
IEEE
14 years 3 months ago
Hierarchical Interconnects for On-Chip Clustering
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...
Aneesh Aggarwal, Manoj Franklin