in the feature信息详情
在功能中
feature in───（使）在…中起重要作用; （使）在…中占重要位置；出现在；占重要位置；起重要作用
feature feature───特征
feature───vi.起重要作用；vt.特写；以…为特色；由…主演；n.特色，特征；容貌；特写或专题节目
feature story───n.深度报道；n.新闻特写；专题报道
poinciana feature───波因西亚特征
emotions feature───情感特征
feature team───专题小组
geographical feature───地理特征
phonetic feature───语音特征，语音要素
For more information, see Features in the Feature Levels.───您可以查看特性级别中的特性，以得到更多信息。
In the Feature Selection screen, select the following.───在Feature Selection界面中，选择以下项。
tough for me to see any value in the feature complete percentage.───我很难从特性完成率中看到价值所在。
It's tough for me to see any value in the feature complete percentage.───我很难从特性完成率中看到价值所在。
List the prerequisites of your contribution (in the feature. xml file) for use during Eclipse configuration processing.───在Eclipse的配置过程中列出您的组件（在feature.xml文件中）所要求的先决条件
In the feature, there will be a clone who has the same appearance with you.───在未来会出现一个与你一模一样的人，那就是克隆人。
They follow a simple principle favoring edge pixels located in low density area in the feature space.───他们依照一种简单的原则有利于位于低密度像素边缘特征空间的地区。
It is introduced in the feature extraction of the vibration signal induced from reciprocating machinery valve, and t.───该方法用于往复机械气阀的振动信号特征提取，有效地提取了气阀的故障特征信号。
Second, the initial segmented regions were obtained using K-means clustering algorithm in the feature space.───然后，运用K均值算法对图像在颜色空间进行聚类，得到初始分割的结果；
The night before the first letter came, he had Speckled Band in the feature at Saratoga.
Then it studies segment color images in the feature space to choose a method which bases on non-supervise, and the experiments have testified the efficiency.
So the measurement and control in the feature size of photomask can reduce the reject of IC and research on this area is very meaningful.
If you need moisturizing, choose an oil-free moisturizer that contains humectants such as glycerin, Na-PCA and hyaluronic acid, et cetera (see ingredients table in the feature article of cosmetics).
This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space.
In the feature selection stage, the computing approximate gains in parallel is adopted in order to solve the computational expensiveness of the model and system spending.
In this algorithm the classification of samples in the critical zone is decided by the voting of K-NN set in the feature space and the sample space.
And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization(NMF) is presented.
It is introduced in the feature extraction of the vibration signal induced from reciprocating machinery valve, and the fault characteristic signal can be extracted effectively.