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» A Bayesian Approach to Digital Matting
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ICMCS
2009
IEEE
279views Multimedia» more  ICMCS 2009»
13 years 4 months ago
Context saliency based image summarization
Image summarization is to determine a smaller but faithful representation of the original visual content. In this paper, we propose a context saliency based image summarization ap...
Liang Shi, Jinqiao Wang, Lei Xu, Hanqing Lu, Chang...
ISCAS
1999
IEEE
132views Hardware» more  ISCAS 1999»
13 years 11 months ago
Complex discriminative learning Bayesian neural equalizer
Traditional approaches to channel equalization are based on the inversion of the global (linear or nonlinear) channel response. However, in digital links the complete channel inve...
Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio,...
CORR
2007
Springer
193views Education» more  CORR 2007»
13 years 7 months ago
Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems....
Cherif Smaili, Maan E. El Najjar, François ...
ICIP
2006
IEEE
14 years 8 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
SIBGRAPI
2008
IEEE
14 years 1 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...