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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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Fusion Forward–Backward Pursuit Algorithm for Compressed Sensing
International Journal of Wireless Information Networks, 2017The Forward–Backward Pursuit (FBP), which is a recently proposed method, receives wide attention due to the high reconstruction accuracy. In this paper, we use the fusion strategy and propose the Fusion Forward–Backward Pursuit (FFBP) algorithm. This strategy only needs the reconstruction information of two FBP with different parameters.
Feng Wang +3 more
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New Forward/Backward Sweeping Parabolized Navier-Stokes Algorithm
Journal of Spacecraft and Rockets, 2003A new forward/backward sweeping parabolized Navier-Stokes algorithm has been developed to compute efficiently supersonic/hypersonic flowfields with embedded separated regions. The algorithm splits the streamwise flux vector using the Steger-Warming method and employs multiple forward/backward sweeps of the flowfield to duplicate the results that would ...
Hiromasa Kato, John C. Tannehill
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Ship Recognition Based on Improved Forwards-Backwards Algorithm
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009Classical Forwards-Backwards (FB) algorithm can only be used to compute the input evidences with a single state. In order to break through its limitation, we presented a kind of improved FB algorithm to compute evidences with a single or more states, which generalized classical FB algorithm. First, we deduced the improved FB algorithm, then constructed
Haiyang Chen, Xiaoguang Gao
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Iterative Forward-Backward Algorithm for Optical Diffraction Tomography
Frontiers in Optics / Laser Science, 2018An iterative forward-backward algorithm for optical diffraction tomography is proposed for imaging phase objects with large refractive index contrast. Numerical results demonstrate accurate and robust reconstructions with sub-wavelength resolution.
Fan, Shengli +3 more
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Numerical Algorithms for Forward-Backward Stochastic Differential Equations
SIAM Journal on Scientific Computing, 2006Efficient numerical algorithms are proposed for a class of forward-backward stochastic differential equations (FBSDEs) connected with semilinear parabolic partial differential equations. As in [J. Douglas, Jr., J. Ma, and P. Protter, Ann. Appl. Probab., 6 (1996), pp.
Milstein, G.N., Tretyakov, Michael V.
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Asymptotic Convergence Analysis of the Forward-Backward Splitting Algorithm
Mathematics of Operations Research, 1995The asymptotic convergence of the forward-backward splitting algorithm for solving equations of type 0 ∈ T(z) is analyzed, where T is a multivalued maximal monotone operator in the n-dimensional Euclidean space. When the problem has a nonempty solution set, and T is split in the form T = ℱ + h with ℱ being maximal monotone and h being co-coercive with
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Forward - Backward Hard Thresholding algorithm for compressed sensing
2017 34th National Radio Science Conference (NRSC), 2017Compressed sensing aims to recover the sparse signal from small linear random combination. The recovery process of the sparse signal through an underdetermined system is the most challenging part of the compressed sensing area. Recently, there are many algorithms have been developed for the recovery process to solve the optimization problem such as ...
Wafaa A. Shalaby +3 more
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Alternated inertial forward-backward-forward splitting algorithm
Numerical Algebra, Control and OptimizationzbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities
Stochastic Systems, 2021Radu Ioan Bot +2 more
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