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AAAI
2006
15 years 3 months ago
Probabilistic Self-Localization for Sensor Networks
This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
Dimitri Marinakis, Gregory Dudek
CSDA
2010
118views more  CSDA 2010»
15 years 1 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
GI
2004
Springer
15 years 7 months ago
Collaborative Decision Making in Organic Business Environments
Abstract: This paper presents a multiagent architecture and algorithms for collaborative, self-organizing learning in distributed, heterogeneous and dynamic business systems, where...
Yutao Guo, Jörg P. Müller
TIP
2008
111views more  TIP 2008»
15 years 1 months ago
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function
This paper proposes a non-Gaussian Markov field with a special feature: an explicit partition function. To the best of our knowledge, this is an original contribution. Moreover, th...
Jean-François Giovannelli
ACCV
2006
Springer
15 years 7 months ago
Tracking Targets Via Particle Based Belief Propagation
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
Jianru Xue, Nanning Zheng, Xiaopin Zhong