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CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
14 years 2 months ago
Convergence rate for stochastic consensus algorithms with time-varying noise statistics: Asymptotic normality
— This paper studies consensus seeking over noisy networks with time-varying noise statistics. Stochastic approximation type algorithms can ensure consensus in mean square and wi...
Minyi Huang
SIGMETRICS
2005
ACM
104views Hardware» more  SIGMETRICS 2005»
14 years 1 months ago
Message delay in MANET
A generic stochastic model with only two input parameters is introduced to evaluate the message delay in mobile ad hoc networks (MANETs) where nodes may relay messages. The Laplac...
Robin Groenevelt, Philippe Nain, Ger Koole
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 10 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
ICML
2009
IEEE
14 years 8 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
AICT
2006
IEEE
129views Communications» more  AICT 2006»
13 years 11 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta