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» Model Selection and Error Estimation
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122
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SSPR
2004
Springer
15 years 9 months ago
Adaptive Context for a Discrete Universal Denoiser
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
Georgy L. Gimel'farb
136
Voted
CORR
2006
Springer
104views Education» more  CORR 2006»
15 years 3 months ago
Loop corrections for approximate inference
We propose a method to improve approximate inference methods by correcting for the influence of loops in the graphical model. The method is a generalization and alternative implem...
Joris M. Mooij, Bert Kappen
114
Voted
DGO
2008
99views Education» more  DGO 2008»
15 years 5 months ago
Specifying and verifying requirements for election processes
In this paper we outline an approach for modeling election processes and then performing rigorous analysis to verify that these process models meet selected behavioral requirement...
Borislava I. Simidchieva, Matthew Marzilli, Lori A...
ICIP
1998
IEEE
16 years 5 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
154
Voted
ICC
2008
IEEE
116views Communications» more  ICC 2008»
15 years 10 months ago
Intelligent Weather Aware Scheme for Satellite Systems
— Rain, snow, gaseous, cloud, fog, scintillation and other atmospheric properties can have a distorting effect on signal fidelity of Ku and Ka bands, thus resulting in excessive ...
Kamal Harb, Changcheng Huang, Anand Srinivasan, Br...