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Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; Second International Edwin R. Hancock,Marcello Pelillo Conference p

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https://doi.org/10.1007/978-4-431-55324-3escription length (MDL) type criterion, termed MMDL(for . MDL), to select the number of components of the model. MMDLis based on the identification of an “equivalent sample size”, for each component, which does not coincide with the full sample size. We also introduce an algorithm based on the stand
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https://doi.org/10.1007/978-3-658-39122-5nes a spatial grid of a reduced size at the coarsest level with sub-trees appended below it, down to the finest level. These models circumvent the algorithmic drawbacks of grid-based models (computational load and/or great dependance on the initialization) and the modeling drawbacks of tree-based ap
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Hallux Rigidus: The Valenti Arthroplasty, noise is supposed to be additive, white and Gaussian, with a known variance. The recovery problem is ill-posed and therefore must be regularized. Herein, we use a regularization model which introduces a ϕ-function, avoiding noise amplification while preserving image discontinuities (i.e. edges) of
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Ultrasound of the Wrist and Hand,e become apparent, and models based on larger neighbourhoods have been developed. When single-site updating methods are used with these models, a large number of iterations are required for convergence. The Swendsen-Wang algorithm and Partial Decoupling have been shown to give potentially enormous s
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Neural Mechanisms of Muscle Cramps regions; contours (boundaries of homogeneous regions) are assumed to be vectors of a subspace of ..(T) generated by a given finite basis; B-splines, Sinc-type, and Fourier bases are considered. The main contribution of the paper is a smoothing criterion, interpretable as a priori contour probabili
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