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CORR
2012
Springer
210views Education» more  CORR 2012»
14 years 2 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh
ISI
2004
Springer
15 years 11 months ago
Discovering Hidden Groups in Communication Networks
We describe models and efficient algorithms for detecting groups (communities) functioning in communication networks which attempt to hide their functionality – hidden groups. O...
Jeffrey Baumes, Mark K. Goldberg, Malik Magdon-Ism...
VTC
2007
IEEE
166views Communications» more  VTC 2007»
16 years 18 days ago
Analysis of Non-Saturation and Saturation Performance of IEEE 802.11 DCF in the Presence of Hidden Stations
—In this paper, we propose an analytical model to evaluate the hidden station effect on both non-saturation and saturation performance of the IEEE 802.11 Distributed Coordination...
Fu-Yi Hung, Ivan Marsic
CVPR
2003
IEEE
16 years 8 months ago
Switching Observation Models for Contour Tracking in Clutter
In Proc. of IEEE Conf. on CVPR'03, Madison, Wisconsin, 2003 We propose a generative model approach to contour tracking against non-stationary clutter and to coping with occlu...
Ying Wu, Gang Hua, Ting Yu
CSDA
2011
15 years 1 months ago
Approximate forward-backward algorithm for a switching linear Gaussian model
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
Hugo Hammer, Håkon Tjelmeland