Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Sensor networks have been used in many surveillance systems, providing statistical information about monitored areas. Accurate counting information (e.g., the distribution
of the ...
Shuo Guo, Tian He, Mohamed F. Mokbel, John A. Stan...
The high-level contribution of this paper is a simulation-based analysis to evaluate the tradeoffs between lifetime and hop count of link-disjoint, node-disjoint and zone-disjoint...
We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the stochastic correlation pat...
Yuliy M. Baryshnikov, Edward G. Coffman Jr., Kyung...