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» Level-set methods for convex optimization
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147
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WICOMM
2010
91views more  WICOMM 2010»
15 years 1 months ago
A sensing-based cognitive coexistence method for interfering infrastructure and ad hoc systems
The rapid proliferation of wireless systems makes interference management more and more important. This paper presents a novel cognitive coexistence framework, which enables an in...
Stefan Geirhofer, Lang Tong, Brian M. Sadler
149
Voted
IJON
2007
184views more  IJON 2007»
15 years 3 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
IJCNN
2006
IEEE
15 years 9 months ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
15 years 5 months ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova
221
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CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 25 days ago
CUR from a Sparse Optimization Viewpoint
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...
Jacob Bien, Ya Xu, Michael W. Mahoney