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ICML
2009
IEEE
14 years 8 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
GLOBECOM
2007
IEEE
14 years 2 months ago
Improving Connectivity via Relays Deployment in Wireless Sensor Networks
Abstract— Enhancing the connectivity of wireless sensor networks is necessary to avoid the occurrence of coverage gaps. In this paper, we aim at improving the network connectivit...
Ahmed S. Ibrahim, Karim G. Seddik, K. J. Ray Liu
PDPTA
2003
13 years 9 months ago
A Design for Node Coloring and 1-Fair Alternator on de Bruijn Networks
In this paper, we study the coloring problem for the undirected binary de Bruijn interconnection network. The coloring scheme is simple and fast. We propose the coloring algorithm...
Jyh-Wen Mao, Chang-Biau Yang
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 6 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
SIROCCO
2004
13 years 9 months ago
Time Efficient Gossiping in Known Radio Networks
We study here the gossiping problem (all-to-all communication) in known radio networks, i.e., when all nodes are aware of the network topology. We start our presentation with a det...
Leszek Gasieniec, Igor Potapov, Qin Xin