您要查找的是不是：
- Chan-Vese方法 Chan-Vese method
- 改进Chan-Vese方法 improved Chan-Vese method
- 一种加快Chan-Vese分割方法的有效措施 Efficient Method for Accelerating Chan-Vese Segmentation
- 对求解TDOA定位方程的Chan方法进行推广得到求解TDOA-AOA定位方程的方法。 The algorithm of Chan, which is for solving TDOA location equations, is extended to solve hybrid TDOA-AOA location equations.
- Chan-Vese Chan-Vese
- 雅虎的高级编辑Vera Chan说：“只要她一上新闻，搜索量就会猛增。” "The searches would spike every time she was back in the news," Vera Chan, senior editor at Yahoo! said.
- 基于Chan-Vese模型的目标多层次分割算法 An Algorithm for Multi-layer Object Segmentation Based on Chan-Vese Model
- “当中国的市场在80年代刚刚开放时，许多人仅仅为了钱就会换一个工作。 ”钱（chan）女士回忆道。 "When [markets in] China first opened" in the 1980s, "many people made job moves simply for money," recalls Ms.
- 基于Chan-Vese模型的树形结构多相水平集图像分割算法 A Tree-Like Multiphase Level Set Algorithm for Image Segmentation Based on the Chan-Vese Model
- 引进了一种新的训练方法。 A new training method was introduced.
- 他们商议扩展业务的最好方法。 They conferred on the best way to expand business.
- 和(3)可看作是Hairer和Wanner(1981)、Sun(1993)、Chan(1990)、Grimm和Scherer(2003)等人获得的相应结果的推广或发展。 and (3) can be regarded as extension of related results of Runge-Kutta methods obtained by Hairer and Wanner(1981),Sun(1993),Chan(1990),Grimm and Scherer(2003)and so on.
- 太多高中老师只是采用填鸭方法灌输学生。 Too many high school teachers just spoon-feed their students.
- 侦查方法 methods of investigation
- 然而Chan-Vese模型是以两个同质区域为基础建立的,这并不符合红外图像的特点,导致直接应用该模型处理红外图像时可能失败。 As Chan-Vese model is based on two homogenous regions,it causes failure in edge detection of infrared images.
- 本文改进了Chan-Vese向量分割模型的速度函数,消除了Dirac函数对非零水平集的抑制,使模型检测出远离初始轮廓线的图像边缘。 In this paper, we altered the speed function of vector C-V model and make model detect the edge of ROI faraway from origin curve by eliminating the suppression of Dirac function to none-zero level set.
- 我喜欢这一种英语教授方法。 I prefer this system of teaching English.
- 你知道其他增加变化的方法吗? What other ways do you know to add variety?
- 这些方法已废而不用了。 These methods have fallen into disuse.
- 他们用抽签的方法来决定谁先开始。 They drew lots to decide who should begin.
