Results 21 to 30 of about 247,012 (241)
Tseng's forward-backward-forward algorithm is a valuable alternative for Korpelevich's extragradient method when solving variational inequalities over a convex and closed set governed by monotone and Lipschitz continuous operators, as it requires in ...
Bot, Radu Ioan +2 more
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Iterative Forward-Backward Pursuit Algorithm for Compressed Sensing
It has been shown that iterative reweighted strategies will often improve the performance of many sparse reconstruction algorithms. Iterative Framework for Sparse Reconstruction Algorithms (IFSRA) is a recently proposed method which iteratively enhances ...
Feng Wang +3 more
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Compressed sensing reconstruction algorithm based on adaptive acceleration forward-backward pursuit
Aiming at the long running time problem of the traditional forward-backward pursuit (FBP) algorithm,an adaptive acceleration forward-backward pursuit (AAFBP) algorithm was proposed.The reconstruction process of AAFBP algorithm can be divided into two ...
Zuozhou PAN +3 more
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Smoothing Linear Multi-Target Tracking Using Integrated Track Splitting Filter
Multi-target tracking (MTT) is a challenging issue due to an unknown number of real targets, motion uncertainties, and coalescence behavior of sensor (such as radar) measurements.
Sufyan Ali Memon +3 more
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Backward Induction versus Forward Induction Reasoning
In this paper we want to shed some light on what we mean by backward induction and forward induction reasoning in dynamic games. To that purpose, we take the concepts of common belief in future rationality (Perea [1]) and extensive form rationalizability
Andres Perea
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Evaluation of vicinity-based hidden Markov models for genotype imputation
Background The decreasing cost of DNA sequencing has led to a great increase in our knowledge about genetic variation. While population-scale projects bring important insight into genotype–phenotype relationships, the cost of performing whole-genome ...
Su Wang +3 more
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Extended Forward-Backward Algorithm
We propose an extended forward-backward algorithm for approximating a zero of a maximal monotone operator which can be split as the extended sum of two maximal monotone operators.
Lassonde, Marc, Nagesseur, Ludovic
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In this paper, we study a monotone inclusion problem in the framework of Hilbert spaces. (1) We introduce a new modified Tseng’s method that combines inertial and viscosity techniques. Our aim is to obtain an algorithm with better performance that can be
Nattakarn Kaewyong +1 more
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The forward–backward algorithm is a splitting method for solving convex minimization problems of the sum of two objective functions. It has a great attention in optimization due to its broad application to many disciplines, such as image and signal ...
Suthep Suantai +3 more
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Fixed-point theory plays many important roles in real-world problems, such as image processing, classification problem, etc. This paper introduces and analyzes a new, accelerated common-fixed-point algorithm using the viscosity approximation method and ...
Kobkoon Janngam +4 more
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