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» A Bayesian Approach to Image Restoration
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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 3 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
PR
2011
14 years 4 months ago
Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization
Non-blind motion deblurring problems are highly ill-posed and so it is quite difficult to find the original sharp and clean image. To handle ill-posedness of the motion deblurrin...
Sangwoon Yun, Hyenkyun Woo
ISBI
2011
IEEE
14 years 1 months ago
Trace driven registration of neuron confocal microscopy stacks
Active research in the area of 3-D neurite tracing has predominantly focused on single sections. Ultimately, however, neurobiologists desire to study the long range connectivity o...
Luke Hogrebe, António R. C. Paiva, Elizabet...
CVPR
2011
IEEE
14 years 1 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth
ECCV
2000
Springer
15 years 11 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...