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» Some Results on the Modelling of Spatial Data
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ICPR
2000
IEEE
14 years 10 months ago
Estimation of Adaptive Parameters for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
André Jalobeanu, Josiane Zerubia, Laure Bla...
ICCV
2011
IEEE
12 years 9 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
JSAC
2006
109views more  JSAC 2006»
13 years 9 months ago
Polarized MIMO channels in 3-D: models, measurements and mutual information
4G systems are expected to support data rates of the order of 100 Mbps in the outdoor environment and 1 Gbps in the indoor/stationary environment. In order to support such large p...
Mansoor Shafi, Min Zhang, Aris L. Moustakas, Peter...
BMCBI
2008
172views more  BMCBI 2008»
13 years 9 months ago
Compo: composite motif discovery using discrete models
Background: Computational discovery of motifs in biomolecular sequences is an established field, with applications both in the discovery of functional sites in proteins and regula...
Geir Kjetil Sandve, Osman Abul, Finn Drablø...
ENVSOFT
2006
84views more  ENVSOFT 2006»
13 years 9 months ago
Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER
GREAT-ER (Geography-referenced Regional Exposure Assessment Tool for European Rivers) is a model system for predicting chemical fate and exposure in surface waters. The GREAT-ER a...
F. Koormann, J. Rominger, D. Schowanek, J.-O. Wagn...