• Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.

    然后利用这种模式的特点,在线优化算法相结合的策略梯度估计及随机逼近而得。

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  • The trackability limitation of current gradient algorithm is discussed. A new algorithm, named variable parameter gradient estimation algorithm with local polynomial approximation is proposed.

    本文分析了梯度辨识算法跟踪时变系统的缺点,提出了一种新的基于局部多项式逼近的变参数梯度估计算法。

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  • During volume rendering, gradient will be used both on the procedure Classification and Shading. So rapidity and accuracy of gradient estimation is important to high quality rendering algorithm.

    体绘制流程中,梯度在数据分类和明暗计算中都要用到,因此快速准确的梯度估算对高质量的体绘制算法至关重要。

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  • If the scatter selected in phase gradient algorithm(PGA) algorithm is not isolated, the accuracy of the phase error estimation will be degraded.

    当相位梯度算法挑选的散射点不是孤立散射点时,导致相位误差估计的准确性下降。

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  • First, a method to estimate the local image gradient, called the BEG (best estimation of gradient) algorithm was proposed to extract the texture orientation parameters.

    首先提出了局部图像的梯度估计方法,称之为BEG(梯度的最佳估计)算法,用来提取图像的纹理方向特征参数。

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  • A robust multiscale algorithm of hierarchical estimation for gradient-based motion estimation was proposed, by a combination of robust estimation method and multiscale technique.

    将鲁棒估计方法与多尺度方法相结合,给出了一种基于梯度的鲁棒分层估计多尺度运动估计算法。

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  • Chapter 1 is the introduction of this paper, which introduces the the projected gradient method, the error bounds estimation and the main results obtained in this paper.

    第一章是绪论部分。简要介绍了投影梯度方法,误差界估计以及本文的主要工作。

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  • Propose an improved algorithm, which uses the gradient-sorting estimation to preserve the edge, the results of experiments have shown the improved one i.

    利用梯度排序来保持图像内部的边缘,实验结果也表明改进后的修复结果要优于原算法。

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  • This method proposes five decimation patterns based on the gradient descent direction, and it can select the decimation pattern adaptively during the motion estimation.

    首先改进传统的一维梯度下降搜索算法,并提出由梯度下降方向自适应选择不同的抽取模式去除计算运动估计准则时的冗余。

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  • So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.

    所以我们又给出一种自适应修正自然梯度算法,用一个合适的距离测度函数来控制步长和动力因子。

    youdao

  • So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.

    所以我们又给出一种自适应修正自然梯度算法,用一个合适的距离测度函数来控制步长和动力因子。

    youdao

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