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PR
2007
104views more  PR 2007»
15 years 6 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
WD
2010
15 years 4 months ago
Efficient MCS selection for MBSFN transmissions over LTE networks
Long Term Evolution (LTE), the next-generation network beyond 3G, is designed to support the explosion in demand for bandwidth-hungry multimedia services that are already experienc...
Antonios G. Alexiou, Christos Bouras, Vasileios Ko...
ICC
2009
IEEE
127views Communications» more  ICC 2009»
15 years 4 months ago
Starburst SSD: An Efficient Protocol for Selective Dissemination
Abstract--We present Starburst, a routing-based protocol designed to efficiently disseminate data items to small subsets within a sensor network. Starburst constructs a routing hie...
Tahir Azim, Qasim Mansoor, Philip Levis
ICIP
2009
IEEE
15 years 4 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
SIAMMAX
2010
145views more  SIAMMAX 2010»
15 years 1 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu