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DCC
2009
IEEE
14 years 5 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
ISCA
2009
IEEE
159views Hardware» more  ISCA 2009»
13 years 12 months ago
End-to-end register data-flow continuous self-test
While Moore’s Law predicts the ability of semi-conductor industry to engineer smaller and more efficient transistors and circuits, there are serious issues not contemplated in t...
Javier Carretero, Pedro Chaparro, Xavier Vera, Jau...
LCN
2005
IEEE
13 years 11 months ago
Implementation and Performance Analysis of a Packet Scheduler on a Programmable Network Processor
— The problem of achieving fairness in the allocation of the bandwidth resource on a link shared by multiple flows of traffic has been extensively researched over the last deca...
Fariza Sabrina, Salil S. Kanhere, Sanjay Jha