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maximum likelihood clustering
相关语句
  最大似然聚类
     Simulated Annealing based Maximum Likelihood Clustering Algorithm for Image Segmentation
     基于模拟退火的最大似然聚类图像分割算法
短句来源
     How to apply the maximum likelihood clustering algorithm to image segmentation is discussed in this paper. Simulated annealing technology is used to solve the problem of maximum likelihood clustering, which avoids the local optimal solution of iterative method.
     将最大似然聚类方法应用于图像分割 ,并采用模拟退火技术求解最大似然聚类 ,解决了用迭代方法求解最大似然聚类只能得到局部最优解的问题 .
短句来源
  大似然聚类
     Simulated Annealing based Maximum Likelihood Clustering Algorithm for Image Segmentation
     基于模拟退火的最大似然聚类图像分割算法
短句来源
     How to apply the maximum likelihood clustering algorithm to image segmentation is discussed in this paper. Simulated annealing technology is used to solve the problem of maximum likelihood clustering, which avoids the local optimal solution of iterative method.
     将最大似然聚类方法应用于图像分割 ,并采用模拟退火技术求解最大似然聚类 ,解决了用迭代方法求解最大似然聚类只能得到局部最优解的问题 .
短句来源
  “maximum likelihood clustering”译为未确定词的双语例句
     A novel Maximum Likelihood Clustering for Multi-Dimension Histogram by using nonlinear matrix equation is proposed. The parameters of Gaussian- mixture distribution including a priori probability, mean vector and covariance matrix are estimated.
     本文提出多维直方图的最大似然参数估计,用非线性矩阵方程,迭代求解.在假定高斯分布的条件下,估计各类的先验概率、均值矢量、和协方差矩阵。
  相似匹配句对
     On Generalized Maximum Likelihood Estimation
     浅论“广义”最大似然估计
短句来源
     Totally Maximum Likelihood Estimation
     完全极大似然估计
短句来源
     is maximum.
     的影响极大。
短句来源
     Internet and Clustering - Innovation]
     互联网与集群式创新
短句来源
     Review of Clustering Retrieval
     聚类检索述评
短句来源
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  maximum likelihood clustering
Mixture maximum likelihood clustering identified four groups that indicated the populations' performance had changed with selection.
      
Initially, the cluster set included a predefined number of clusters same as the maximum number of clusters used for maximum likelihood clustering.
      
As can be seen, the maximum likelihood clustering procedure used by ISODATA is a bit more robust to watermarking.
      


Image segmentation can be regarded as the problem of two class pattern classification. How to apply the maximum likelihood clustering algorithm to image segmentation is discussed in this paper. Simulated annealing technology is used to solve the problem of maximum likelihood clustering, which avoids the local optimal solution of iterative method. It shows better image segmentation effect than the famous Otsu algorithm and iterative method with less classification error than iterative method.

图像分割可视为两类模式分类问题 .将最大似然聚类方法应用于图像分割 ,并采用模拟退火技术求解最大似然聚类 ,解决了用迭代方法求解最大似然聚类只能得到局部最优解的问题 .获得的图像分割效果优于迭代方法和著名的 Otsu方法 ,且分类误差小于迭代方法 .

>=A novel Maximum Likelihood Clustering for Multi-Dimension Histogram by using nonlinear matrix equation is proposed. The parameters of Gaussian- mixture distribution including a priori probability, mean vector and covariance matrix are estimated. The theoretical analysis and experimental results show that the performance of proposed algorithm is satisfied in adaptation, visualization and accuracy.

本文提出多维直方图的最大似然参数估计,用非线性矩阵方程,迭代求解.在假定高斯分布的条件下,估计各类的先验概率、均值矢量、和协方差矩阵。理论分析和实例说明,本文提出的方法,通用性强、可视性好、精度能满足要求。

 
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