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AAAI
2007
13 years 11 months ago
Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
Prashant Doshi
IPSN
2004
Springer
14 years 2 months ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak
ICASSP
2009
IEEE
14 years 22 days ago
Geometrical interpretation and improvements of the Blahut-Arimoto's algorithm
The paper first recalls the Blahut Arimoto algorithm for computing the capacity of arbitrary discrete memoryless channels, as an example of an iterative algorithm working with pro...
Ziad Naja, Florence Alberge, Pierre Duhamel
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 9 months ago
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
Vincent Yan Fu Tan, Vivek K. Goyal
ICIP
2002
IEEE
14 years 10 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...