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117
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CORR
2010
Springer
107views Education» more  CORR 2010»
15 years 1 months ago
Distributed Detection over Time Varying Networks: Large Deviations Analysis
—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Dragana Bajovic, Dusan Jakovetic, João Xavi...
124
Voted
WWW
2005
ACM
16 years 3 months ago
TotalRank: ranking without damping
PageRank is defined as the stationary state of a Markov chain obtained by perturbing the transition matrix of a web graph with a damping factor that spreads part of the rank. The...
Paolo Boldi
ICASSP
2008
IEEE
15 years 9 months ago
Stability analysis of the consensus-based distributed LMS algorithm
We deal with consensus-based online estimation and tracking of (non-) stationary signals using ad hoc wireless sensor networks (WSNs). A distributed (D-) least-mean square (LMS) l...
Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Gi...
130
Voted
ICIP
2010
IEEE
15 years 17 days ago
Learning image similarities via Probabilistic Feature Matching
In this paper, we propose a novel image similarity learning approach based on Probabilistic Feature Matching (PFM). We consider the matching process as the bipartite graph matchin...
Ziming Zhang, Ze-Nian Li, Mark S. Drew
ICPR
2000
IEEE
16 years 3 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes