提出了一种基于各向异性和非线性正则化的湍流退化图像复原新算法。
A new algorithm is proposed for restoring the turbulence-degraded images by use of anisotropic and nonlinear regularization.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
提出一种新的非线性结构张量计算方法，扩展了基于迹的PDE正则化方法，使其适用于矩阵值数据场；
A new nonlinear structure tensor calculation method is presented. We extend the trace-based PDE regularization method to matrix-valued data fields.
应用推荐