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Showing 1 to 3 of 3 for “"Bregman distance"”.
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Método do ponto proximal com distância de Bregman para problemas de minimização quase convexos
… functions. To this end, the Euclidian distance in the regularization term of the classic proximal point method is replaced by a map with nice similar properties such as a distance but not necessarily satisfying all the axioms of a distance. Such a map is the so called Bregman distance.
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Neural Network Training and Inversion with a Bregman Learning Framework
… of DNNs. In particular, we propose a lifted Bregman learning framework that goes beyond the classical back-propagation approach, and aims to address unresolved and overlooked issues in training and the inversion of DNNs. More specifically, we propose a family of loss (penalty) functions that …
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First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images
… an error analysis through the notion of the Bregman distance. We examine analytically how TV regularisation on the sinogram affects the reconstructed image especially the boundaries of objects in the image. This analysis motivates the use of a combined regularisation principally for …