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KDD
2010
ACM
13 years 10 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
DCC
2009
IEEE
14 years 9 months ago
2009
IEEE
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...
DAC
2006
ACM
14 years 9 months ago
2006
ACM
We address the problem of estimating controller delay from high-level specifications during behavioral synthesis. Typically, the critical path of a synthesised behavioral design g...
CIKM
1999
Springer
14 years 22 days ago
1999
Springer
On-line analytical processing (OLAP) requires e cient processing of complex decision support queries over very large databases. It is well accepted that pre-computed data cubes ca...
TMC
2008
13 years 8 months ago
2008
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing a...