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likelihood function相关的网络例句

查询词典 likelihood function

与 likelihood function 相关的网络例句 [注:此内容来源于网络,仅供参考]

In this paper, the computation of original likelihood function is transformed into the optimal problem of its low bound through the conjugate representation of the convex function, and a additional parameter is introduced to control the smoothing degree of low bound, and so the performance of local optimal solution can be improved.

我们利用凸泛函的对偶性,将原似然函数的复杂计算问题转化为对其下界函数的优化问题,从而降低学习算法的复杂性;并通过引入一个参数来控制下界函数的光滑程度来改善局部最优解的性能;指出了传统的期望最大化算法(Expectation Maximization Algorithm)是变分学习算法的特殊情况。

Further, the maximum likelihood function is described as an unitary function of shape parameter. It is easy to be solved with the dichotomy.

但是三参数Weibul1 分布的参数估计比较复杂,人们围绕这一问题做了许多研究,提出了许多方法。

We construct cost function which combines the likelihood function and boundary constraint function.

它利用似然函数和边界约束方程构造代价函数,来描述区域特征。

The maximum likelihood function of the fatigue life was proposed based on the maximum likelihood principle, and it was born out that the maximum likelihood method could be used for the fatigue analysis.

基于极大似然原理,推导出关于疲劳寿命的极大似然函数,并证明了将极大似然方法用于疲劳分析的可行性。

This paper proposes a new cost function which is based on the likelihood function amplified with a nonlinear function, and the global convergence of this function can be obtained more easily than the original cost function.

本文从参数的最大似然估计出发,采用非线性来放大似然函数并构造一个新的代价函数,该函数能更明显区分局部和全局最佳值。

Our new model can avoid the contingent of unboundedness of the maximum likelihood function and excessive sensitivity of the maximum likelihood estimator to outliers, showing more robustness.

新模型可以克服似然函数可能出现无界的现象,在计算上有更好的鲁棒性。

Firstly, preprocess road image with edge operator to get the edge information, then construct a deformable template model of road contour and its likelihood function which define the fitting degree for a given group of deformable template parameters, finally genetic algorithm is used to search the global optimal value of the likelihood function to get the optimal parameter of the deformable road model.

真实场景的道路识别算法常常受到光照变化的影响,导致图像序列中道路目标的亮度值变化较大,传统基于固定阈值的方法不能很好的解决该问题,因此道路识别算法鲁棒性差,即使道路检测和识别算法在光照较为固定的场景具有较好的效果,但这样的算法很难移植到其它光照场景。

Firstly, the maximum likelihood criterion is employed to model the multi-view tracking problem. Then, the likelihood function is factorized based on the conditional independent assumptions. Finally, the estimation of the target location in each camera view is obtained by using an efficient message passing mechanism. In our algorithm, image data from all cameras no longer need to be transmitted to and processed by a central unit.

该算法首先利用最大似然准则对多视角目标跟踪问题进行建模,并对似然函数进行分解,最后借助消息传递机制高效求解出跟踪目标在各个摄像机视野中位置的估计值,而不再需要将图像数据传输到中央处理单元进行集中式处理。

Firstly, the maximum likelihood criterion is employed to model the multi-view tracking problem. Then, the likelihood function is factorized based on the conditional independent assumptions.

该算法首先利用最大似然准则对多视角目标跟踪问题进行建模,并对似然函数进行分解,最后借助消息传递机制高效求解出跟踪目标在各个摄像机视野中位置的估计值,而不再需要将图像数据传输到中央处理单元进行集中式处理。

In the training of HMM, referring to the auxiliary function in reference〓, and the method in reference〓 to get the estimations of the parameters of Markov chain, we define the likelihood function and auxiliary function for the maximum likelihood estimation of CDHMM, and then induce systematically the forward-backward algorithm and the re-estimation formulas for parameters of CDHMM.

在HMM的建模方面,本文借鉴文献〓中求多变量观测值马尔可夫链参数时辅助函数的选取方法,定义了CDHMM的似然函数和辅助函数;借鉴文献〓中求解马尔可夫链参数时的求偏导方法,并针对本文辅助函数加以简化和改进,系统地推导了HMM的前向—后向算法,以及CDHMM各参数的极大似然估计公式。

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