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AAAI
2010
13 years 10 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
AMAI
2005
Springer
13 years 8 months ago
2005
Springer
Mediator systems integrate distributed, heterogeneous and autonomous data sources, but their e ective use requires the solution of hard query optimization problems. This is usuall...
DAC
2007
ACM
14 years 9 months ago
2007
ACM
Abstract. Embedded multimedia systems often run multiple time-constrained applications simultaneously. These systems use multiprocessor systems-on-chip of which it must be guarante...
RTCSA
1999
IEEE
14 years 22 days ago
1999
IEEE
In this paper; we describe optimal algorithmsfor incorporating error recovery in the imprecise computation model. In that model eack task compriser a mandatory and an optional par...
CORR
2011
Springer
13 years 7 days ago
2011
Springer
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...