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ICASSP
2010
IEEE
15 years 3 months ago
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
Martin Luessi, S. Derin Babacan, Rafael Molina, Ja...
CSDA
2007
134views more  CSDA 2007»
15 years 3 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
ADHOC
2004
113views more  ADHOC 2004»
15 years 3 months ago
Distributed protocols for ad hoc wireless LANs: a learning-automata-based approach
An ad hoc learning-automata-based protocol for wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced. According to the proposed protocol, ...
Petros Nicopolitidis, Georgios I. Papadimitriou, A...
JSAC
2007
119views more  JSAC 2007»
15 years 3 months ago
Cooperative routing for distributed detection in large sensor networks
— In this paper, the detection of a correlated Gaussian field using a large multi-hop sensor network is investigated. A cooperative routing strategy is proposed by introducing a...
Youngchul Sung, Saswat Misra, Lang Tong, Anthony E...
GLOBECOM
2010
IEEE
15 years 1 months ago
Distributed High Accuracy Peer-to-Peer Localization in Mobile Multipath Environments
In this paper we consider the problem of high accuracy localization of mobile nodes in a multipath-rich environment where sub-meter accuracies are required. We employ a peer to pee...
Venkatesan N. Ekambaram, Kannan Ramchandran