A Gradient-Based Algorithm with Nonmonotone Line Search for Nonnegative Matrix Factorizationactive setalternating nonnegative least squaresprojected barzilai-borwein methodnonmonotone line searchlarger step sizeIn this paper, we first develop an active set identification technique, and then we ...
algorithm.Weprovethatthismethodreducestrainingerror,and compareitsperformancetootherregressionmethods. Theaimofboostingalgorithmsisto“boost”thesmalladvantagethatahypothesis producedbyaweaklearnercanachieveoverrandomguessing,byusingtheweak learningprocedureseveraltimesonasequenceofcarefullyconstructeddistribu- ...
By using the hierarchical identification principle, the gradient-based iterative algorithm is suggested for solving a complex conjugate and transpose matrix equation. With the tools of the real representation of a complex matrix and the vec-operator, a new convergence proof is offered. The necessary ...
Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique Wu. Large sparse signal recovery by conju- gate gradient algorithm based on smoothing technique. Computers and Mathematics with Applications, 66(1):24-32,... H Zhu,Y Xiao,SY Wu - 《Computers & Mathematics ...
Compared with the above nonlinear optimization algorithms, the gradient based optimizer (GBO) algorithm used in this paper effectively overcomes these shortcomings. It is hard to fall into local optimum and has high accuracy of its solution; it mainly uses two operators to establish the proper ...
In Section 4, a gradient-based algorithm is developed for solving the non-smooth constrained optimization problem. In Section 5, the convergence results of this gradient-based algorithm are established. In Section 6, a long-term hydrothermal optimal scheduling problem is provided to illustrate that ...
Two approximations to gradient have been introduced to reduce the computational complexity of the gradient based edge detection algorithm. 为降低基于梯度的边界检测算法的复杂度,常使用两种梯度近似算法。 www.ceps.com.tw 2. Convergence for Gradient-Based and Heuristic Algorithms, Lagrange Multipliers, Duali...
In this paper, an iterative algorithm is presented for solving Sylvester tensor equation \mathscr{A}*_M\mathscr{X}+\mathscr{X}*_N\mathscr{C}=\mathscr{D} \mathscr{A}*_M\mathscr{X}+\mathscr{X}*_N\mathscr{C}=\mathscr{D} , where \mathscr{A} \mathscr{A} , \mathscr{C} \mathscr{...
We derive a fast algorithm for the constrained TV-based image deburring problem. To achieve this task, we combine an acceleration of the well known dual approach to the denoising problem with a novel monotone version of a fast iterative shrinkage/thresholding algorithm (FISTA) we have recently ...
According to Table 1, the statistical mean of 100-time inversion results through the GBO algorithm are closer to optimal values. Besides, the effect of strike between the statistical mean of GBO and the optimal value is 0.05°, while the effect of rake is 0.07°, and the effect of dip is...