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ICML
2010
IEEE
15 years 2 months ago
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
CORR
2008
Springer
127views Education» more  CORR 2008»
15 years 1 months ago
On the long time behavior of the TCP window size process
The TCP window size process appears in the modeling of the famous Transmission Control Protocol used for data transmission over the Internet. This continuous time Markov process t...
Djalil Chafaï, Florent Malrieu, Katy Paroux
PR
2002
108views more  PR 2002»
15 years 1 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...
PE
2007
Springer
130views Optimization» more  PE 2007»
15 years 1 months ago
Performability analysis of clustered systems with rejuvenation under varying workload
This paper develops time-based rejuvenation policies to improve the performability measures of a cluster system. Three rejuvenation policies, namely standard rejuvenation, delayed...
Dazhi Wang, Wei Xie, Kishor S. Trivedi
PAMI
2008
161views more  PAMI 2008»
15 years 1 months ago
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...