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Accelerated forward–backward algorithms for structured monotone inclusions
Computational Optimization and ApplicationszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paul-Emile Maingé, André Weng-Law
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The Competitive Forward-Backward algorithm (CFB)
4th International Conference on Artificial Neural Networks, 1995We present a novel neural network algorithm to train HMM models, called Competitive Forward Backward algorithm (CFB). It focuses on the minimization of the misclassification rate, rather than the classical maximization of the likelihood of each model.
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Joint Segmentation and Shape Regularization With a Generalized Forward–Backward Algorithm
IEEE Transactions on Image Processing, 2016This paper presents a method for the simultaneous segmentation and regularization of a series of shapes from a corresponding sequence of images. Such series arise as time series of 2D images when considering video data, or as stacks of 2D images obtained by slicewise tomographic reconstruction.
Anca Stefanoiu +4 more
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Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities
Stochastic Systems, 2021Phan Tu Vuong +2 more
exaly
Accelerated forward-backward algorithms with subgradient corrections
Computational Optimization and ApplicationsXin He 0020, Yaping Fang
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The Variable Metric Forward-Backward Splitting Algorithm Under Mild Differentiability Assumptions
SIAM Journal on Optimization, 2017Saverio Salzo
exaly