首页|New Machine Learning Study Results Reported from University of Modena and Reggio Emilia (Explainable Bilevel Optimization: an Application To the Helsinki Deblur Challenge)
New Machine Learning Study Results Reported from University of Modena and Reggio Emilia (Explainable Bilevel Optimization: an Application To the Helsinki Deblur Challenge)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting originating from Modena, Italy, by NewsRx correspondents, research stated, "In this paper we present a bilevel opti mization scheme for the solu-tion of a general image deblurring problem, in whic h a parametric variational-like approach is encapsulated within a machine learni ng scheme to provide a high quality reconstructed image with automatically learn ed parameters. The ingredients of the variational lower level and the machine le arning upper one are specifically chosen for the Helsinki Deblur Challenge 2021, in which se-quences of letters are asked to be recovered from out-of-focus phot ographs with increasing levels of blur." Our news editors obtained a quote from the research from the University of Moden a and Reggio Emilia, "Our proposed procedure for the reconstructed image consist s in a fixed number of FISTA iterations applied to the minimiza-tion of an edge preserving and binarization enforcing regularized least-squares functional. The parameters defining the variational model and the optimiza-tion steps, which, un like most deep learning approaches, all have a precise and interpretable meaning , are learned via either a similarity index or a support vector machine strategy ."
ModenaItalyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Modena and Reggio Emilia
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