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» Distributed parameter estimation in networks
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96
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PR
2002
108views more  PR 2002»
15 years 8 days 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,...
ICASSP
2011
IEEE
14 years 4 months ago
Phoneme selective speech enhancement using the generalized parametric spectral subtraction estimator
In this study, the generalized parametric spectral subtraction estimator is employed in the context of a ROVER speech enhancement framework to develop a robust phoneme class selec...
Amit Das, John H. L. Hansen
129
Voted
ECIR
2011
Springer
14 years 4 months ago
Back to the Roots: Mean-Variance Analysis of Relevance Estimations
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
117
Voted
ICCAD
2005
IEEE
122views Hardware» more  ICCAD 2005»
15 years 9 months ago
Intrinsic shortest path length: a new, accurate a priori wirelength estimator
A priori wirelength estimation is concerned with predicting various wirelength characteristics before placement. In this work we propose a novel, accurate estimator of net lengths...
Andrew B. Kahng, Sherief Reda
IJPRAI
1998
100views more  IJPRAI 1998»
15 years 8 days ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou