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» Gaussian Process Models of Spatial Aggregation Algorithms
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ICASSP
2010
IEEE
13 years 6 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi
TNN
2008
128views more  TNN 2008»
13 years 7 months ago
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...
Petr Tichavský, Zbynek Koldovský, Ar...
ICASSP
2011
IEEE
12 years 11 months ago
Predictive modeling of the spatiotemporal evolution of an environmental hazard and its sensor network implementation
Predicting accurately the spatiotemporal evolution of a diffusive environmental hazard is of paramount importance for its effective containment. We approximate the front line of a...
Dimitris V. Manatakis, Elias S. Manolakos
ICIAP
2007
ACM
14 years 1 months ago
Rigid Image Registration based on Pixel Grouping
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images. The method relies on the partitioning of a reference image...
Demetrios Gerogiannis, Christophoros Nikou, Aristi...
ICML
2007
IEEE
14 years 8 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel