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» Inverse Problems in Imaging and Computer Vision - From Regul...
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ECCV
2006
Springer
13 years 9 months ago
Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization
Here we present a new image registration algorithm for the alignment of histological sections that combines the ideas of B-spline based elastic registration and consistent image re...
Ignacio Arganda-Carreras, Carlos Oscar Sánc...
ICASSP
2011
IEEE
12 years 9 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
CVPR
2000
IEEE
14 years 7 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
SIAMIS
2011
13 years 8 days ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
SCALESPACE
2007
Springer
13 years 11 months ago
Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
This is a theoretical study on the minimizers of cost-functions composed of an ℓ2 data-fidelity term and a possibly nonsmooth or nonconvex regularization term acting on the di...
Mila Nikolova