136 search results - page 1 / 28 » Efficient kernel feature extraction for massive data sets |
KDD
2006
ACM
14 years 5 months ago
2006
ACM
PVLDB
2008
13 years 4 months ago
2008
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
IDEAL
2009
Springer
13 years 12 months ago
2009
Springer
We propose a novel, supervised feature extraction procedure, based on an unbiased estimator of the Hilbert-Schmidt independence criterion (HSIC). The proposed procedure can be dire...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...