该方法提取模式的整体特征，可有效避免选取特征量时的困难。
The proposed method extracts global feature of patterns, thus the difficulty during choosing eigen-quantity can be effectively avoided.
为了避免特征点选取相对集中，给出一种随机分块选取特征点对的方法。
Random block feature point selection is developed to avoid feature point close clustering.
非负矩阵分解过程中，适当地选取特征空间的维数能够获得原始数据的局部特征。
The local feature based representation could be obtained by choosing suitable dimension of the feature subspace in NMF.
在理想弹道计算的基础上选取特征点，在每个特征点，将对象简化为一个二阶环节来近似。
Based on ideal trajectory calculation, characteristic points are chosen. On each point, plant is simplified as a second order one.
分析了常用的几种特征选取方法，提出了改进互信息算法。实验结果显示改进的互信息算法是可行的。
Several feature selection methods were analyzed. An improved mutual information algorithm was proposed. The experiment results showed that improved mutual information algorithm was feasible.
提出了一种阈值选取与边缘检测相结合提取红外图像特征的方法。
An algorithm using threshold selection and edge detection to extract target features from infrared image was proposed.
实验结果显示选取适当的特征数目、使用好的分词技术、使用命名实体识别技术都能改进中文话题追踪系统的性能。
The experimental result shows that the tracking performance will be improved by selecting proper features, using word segmentation system and using named entity recognition system.
分析了常用的几种特征选取方法，提出了改进互信息算法。
Several feature selection methods were analyzed. An improved mutual information algorithm was proposed.
然后利用直方图法对每一特征作了特征选择，如此共选取了21个特征。
Then trait selection has been for every trait using the histogram method and 21 traits in all have been selected.
本章选取了“在路上”电影叙事结构上的一些重要特征，以此来发掘此类影片在故事、结构与思想之间的贯通性。
Through analyzing some important narrative characteristics of on the road movie, this part tries to unearth the connection among the story, structure and theory of such kind of movies.
牌照字符识别是车牌识别系统中关键的一步，而字符识别的关键在于有效特征的选取。
License plate character recognition is a main step in license plate recognition system, but its emphasis is to choose efficient features.
为了使图像跟踪系统能根据图像特征自适应选取分割算法，给出了一种基于粗糙集理论的图像分割智能决策方法。
In order that the image tracking system can select segmentation algorithm itself according to the object image feature, this paper presents an intelligent decision method of image segmentation.
特征参数的选取对整个语音识别系统的实时性、鲁棒性有很大的影响。
The chosen speech feature parameters have great effects on robustness and real-time of the speech recognition system.
在此基础上主要就镜头分割、关键帧选取、音频特征分类以及视频中文字区域的检测和分割提出了相应改进的算法。
Further it mainly aims at the segment of shot, selection of key frame, classify of audio characteristic and detection of caption-region in video and presents corresponding improved approach.
利用历史资料实现了海域水深注记点的自动内插、海底地形特征点的自动选取和等深线的自动生成。
Automatic interpolation of charted depth annotated point, automatic selection of Marine topography feature point and automatic build of bathymetric contour come true by using history data.
通过适当的选取图像特征，实现了摄像机工作空间运动目标跟踪的视觉伺服任务，并采用扩展卡尔曼滤波控制方法完成机器人视觉伺服控制。
Floating object tracking in the whole working space of a camera can be obtained through selecting image features, and Kalman filtering control was adopted to realize visual servo control of robot.
基于支承法兰盘的结构特征，通过目标函数的建立、设计变量的选取以及约束条件的确定建立了优化设计的有限元模型，并对法兰盘进行了静力分析。
Based on the structural characteristics of bearing flange, the optimization model is established according to the objective function, design variables and constraints, and make a static analysis.
目的：采用粗糙集方法选取相关特征色谱峰用于黄芪药材的产地鉴别。
Objective: Correlative characteristic peaks of HPLC selected by rough sets were employed to identify the habitats of Radix Astragali.
对集装箱检测系统探测器信号的统计特征进行分析，选取合适的图像扫描参数对提高检测图像质量有十分重要的意义。
It is very important to analyze the statistic character of detector signal of container inspection system and further to choose suitable image scanning parameter.
提出了依据系统输出分布的特征变量选取方法，并提出了依据该项信息的建模和控制方法。
The method of modelling and control based on characteristic variables chosen according to system output distributions is presented.
论文讨论了如何选取声学特征来表征不同发音者的语音个人特性。
The paper deals with the selection of acoustic phonetics of the speaker characteristics.
本文结合第四纪沉积物类型的划分，讨论了遥感分类中最佳波段和波段组合的选取以及特征空间的扩充方法。
The optimum selection of bands and its combinations in remote sensing classification and the method for expanding feature space are presented.
本文提出一种基于属性重要度的启发式特征选取算法。
In this paper, we introduce an algorithm which is using the importance of attribute with heuristics for feature selection.
并选取几个典型特征来分析其可能原因。
Then several typical characteristics choose to analyze its possible reason.
在研究了人脸的颅骨、肌肉组织特点的基础上，给出了人脸特征点的定义及选取规则。
On the research of human cranium and head muscle, the definition of the facial feature points is given.
给出了该方法的理论分析，故障特征量的选取，神经网络设置和训练的具体步骤。
Theoretical analysis, choice of fault characteristics and practical procedure of neural network setting and training are given out.
利用专家系统的设计思想，提出了特征参数择优选取的原理模型。
Using export system for reference, we bring forward the principle model of condition monitoring parameter optimum select.
这样，结合文献的研究成果，即可依据不同驱动类型和渗流特征选取参数，对油田产量进行全过程拟合和预测。
In this way, the whole process the field production will be matched and predicted by using selecting parameters representing different drive types and combining the study results of literature.
该方法将CHI值特征选取和粗糙集理论充分结合，避免了用粗糙集对大规模决策表进行特征约简，同时避免了决策表的离散化。
The method combined CHI value feature selection and rough set theory fully so as to avoid both feature reduction on a large scale decision table and the discretization of the decision table.
重点研究了颜色空间的选取、目标识别中确定阀值的策略及特征点的选取方法。
Emphases resid in the problems of choosing an efficient color space, deciding threshold and matching feature points.
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