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hessian相关的网络例句

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与 hessian 相关的网络例句 [注:此内容来源于网络,仅供参考]

And introducing Levenberg-Marquardt method to perturb the Hessian matrix is also quite unique and successful.

大量的实验结果也证实了我们两种方法的有效性。

Moreover, the algorithm has better robustness and accuracy than DGMI algorithm and Hessian matrix algorithm.

与DGMD算法和单独的Hessian矩阵法算法相比,本方法有很好的鲁棒性和较高的准确性。

Thereby, sparsity of the Hessian matrix of the objective function is maintained by the approximate updated matrix sequence.

此算法的另一个重要性质是:算法产生的逼近目标函数Hessian阵的矩阵序列保持对称正定性。

We use gradient vectors to find possible profiles, which are then verified by analysis of Hessian matrix in multiscale space.

我们经由梯度向量的方向寻找可能剖面,再使用多尺度空间中的Hessian矩阵分析,验证剖面的真确性。

A new TMH(Template-Matching with Hessian matrix) method is proposed in this paper.Firstly lung lobes are gained.

提出了一种新的肺结节检测算法——TMH(引入了Hessian矩阵的模版匹配)算法。

The method implements an accurate extraction using Hessian matrix eigenvectors and the Canny operator.

此方法结合了Hessian矩阵特征向量和Canny算子来进行准确提取。

And the Levenberg-Marquardt iteration, which can avoid to compute Hessian matrix, is adopted as the learning rule to train the samples of this feedforward network.

针对传统的梯度下降优化算法收敛速度慢的特点,采用可避免计算Hesse矩阵的Levenberg-Marquardt算法来训练神经网络。

An modified BFGS algorithm to solve the unconstrained optimization, whose Hessian matrix of the minimum point of the convex function is rank one defect, is presented in this paper.

本文对凸函数在极值点的Hessian矩阵是秩亏一的情况下,给出了一类求解无约束优化问题的修正BFGS算法。

In order to perform an accurate navigation, the centerline of the model must be extracted. In this paper, a new centerline extraction algorithm based on Hessian Matrix is proposed.

要想快速准确地进行虚拟内窥漫游,一个首要的步骤是要先提取出模型的中心线以指导视点的移动。

In order to improve the robust and precise in image registration,we get the Hessian matrix removed to improve LMA for searching the eight unknown parameters of two input perspective transformation images and get computational gains.

为提高图像匹配的精度和稳定性,在图像匹配过程中用消除了Hessian矩阵的LMA改进算法对两幅图像透视变换矩阵的8个未知参数进行拟合,减少了迭代的计算量。

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推荐网络例句

Liapunov—Schmidt method is one of the most important method in the bifurcation theory.

Liapunov—Schmidt方法是分叉理论的最重要方法之一。

Be courteous -- even when people are most discourteous to you .

要有礼貌──即使当別人对你最不礼貌的时候。

I think we have to be very careful in answering these questions, because nothing is really so simple.

我认为,我们在回答这些问题的时候应该非常谨慎,因为事情远没有那么简单。