| 1. | Research on unsupervised chinese segmentation based on em algorithm
一种改进的汉语分词算法 |
| 2. | Studies on correct convergence of the em algorithm for gaussian mixtures
算法正确收敛性的探讨 |
| 3. | Study of tracking maneuvering targets in clutter based on the em algorithm
性能优化的跟踪门算法 |
| 4. | We first introduce the em algorithm and its convergence properties
首先，我们引入了em算法，讨论了它的一般收敛性质。 |
| 5. | We also give a variation of the em algorithm for gaussian mixtures
进一步给出了高斯混合体em算法的变形及其收敛性质。 |
| 6. | Correction of control point slope based on em algorithm and shading of single sar image
算法和单幅雷达图像阴影的控制点坡度校正 |
| 7. | Image segmentation ; textured image ; gaussian mixture models ; multiresolution wavelet ; em algorithms
图像分割纹理图像高斯混合模型多分辨率小波em算法 |
| 8. | 18 dempster a , laird n , rubin d . maximum likelihood from incomplete data via the em algorithm
进一步，数据降维的结果可通过与两个空间相关度量的最大似然解得到。 |
| 9. | In this paper , we present a theoretical analysis on the correct convergence of the em algorithm for gaussian mixtures
本文对高斯混合体em算法的正确收敛性问题进行了理论研究。 |
| 10. | However , there has been still an important but unsolved problem : whether the em algorithm can converge to the correct solution
然而， em算法能否收敛到正确解一直是一个困难的问题。 |
