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» Kernelization of packing problems
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MTA
2006
173views more  MTA 2006»
15 years 1 months ago
Active learning in very large databases
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
Navneet Panda, Kingshy Goh, Edward Y. Chang
84
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KES
2010
Springer
15 years 8 days ago
W-kmeans: Clustering News Articles Using WordNet
 Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
Christos Bouras, Vassilis Tsogkas
126
Voted
PAMI
2010
132views more  PAMI 2010»
15 years 7 days ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
RTAS
2010
IEEE
15 years 7 days ago
Reservation-Based Interrupt Scheduling
Abstract—Some real-time kernels (such as a recent realtime version of Linux) permit to execute interrupt handlers in dedicated threads, to control their interference on realtime ...
Nicola Manica, Luca Abeni, Luigi Palopoli
118
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JMLR
2010
143views more  JMLR 2010»
14 years 8 months ago
Regularized Discriminant Analysis, Ridge Regression and Beyond
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jor...