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USITS
2003
13 years 9 months ago
Using Random Subsets to Build Scalable Network Services
In this paper, we argue that a broad range of large-scale network services would benefit from a scalable mechanism for delivering state about a random subset of global participan...
Dejan Kostic, Adolfo Rodriguez, Jeannie R. Albrech...
RSA
2010
94views more  RSA 2010»
13 years 6 months ago
Word maps and spectra of random graph lifts
We study here the spectra of random lifts of graphs. Let G be a finite connected graph, and let the infinite tree T be its universal cover space. If λ1 and ρ are the spectral ...
Nati Linial, Doron Puder
VTC
2010
IEEE
177views Communications» more  VTC 2010»
13 years 6 months ago
Randomized Robot-Assisted Relocation of Sensors for Coverage Repair in Wireless Sensor Networks
—In wireless sensor networks (WSN), stochastic node dropping and unpredictable node failure greatly impair coverage, creating sensing holes, while locally redundant sensors exist...
Greg Fletcher, Xu Li, Amiya Nayak, Ivan Stojmenovi...
CVPR
2009
IEEE
15 years 3 months ago
A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Much research effort on Automatic Image Annotation (AIA) has been focused on Generative Model, due to its well formed theory and competitive performance as compared with many we...
Yu Xiang (Fudan University), Xiangdong Zhou (Fudan...
ECCV
2008
Springer
14 years 10 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal