可用作自联想最邻分类器，并可存储任何模拟向量模式。
Since most neighborhood association can be used as a classifier, and can store any simulated vector mode.
高级预测模式可与无限制运动向量模式一起使用以提高预测性能及降低方块效应。
Combined with Unrestricted Motion Vector mode advanced prediction mode can be used to improve the prediction performance and reduce the "blocking" effects.
同样，您可以看到一个对象引用另一个对象(它仅包含我正在查找的对象的一个向量)的编程方式的模式。
Again, you can see the programmatic pattern of one object referencing another object that simply contains a vector of the object (s) I am really looking for.
在任何时间点，如果太阳仰角或是太阳方位角的错误或是动量向量的错误超过容忍度时，那么ACS将会为了修正此问题而回到适当的模式。
At any point, if the sun elevation or sun azimuth errors or the momentum vector error exceeds tolerances, the ACS will return to an appropriate mode in order to correct the problem.
特征提取的依据是利用有关数学工具，去掉对分类无用的信息，寻找最有效的信号特征来构成用于分类识别的模式特征向量。
The extracting process is to throw off the useless information and look for the most efficient signal feature to form a pattern feature vectors for classification with mathematics tools.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
针对新的参考向量开发了模糊竞争学习模式，并用该算法成功地解决了文献聚类的难题。
This paper also develops a fuzzy competitive learning scheme for these new reference vector parameters, and applies the algorithm to the difficult task of clustering documents.
论文提出和研究了布尔向量数据模式分类中的关键问题，并将研究结果应用于中医学诊断量表研制当中。
Some key issues of pattern classification for Boolean vector data are put forward and studied in the dissertation, and research results are applied into TCM diagnosis scale development.
我怎样才能适应这种重复使用存储的撤销堆栈模式从一个普通的向量类型化的模型？
How can I adapt this reused-storage undo stack pattern from a generic vector to a typed model?
粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。
As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.
文章采用一种新的模式识别技术——支持向量机（SVM），来进行高速公路的事件检测。
This paper presents the application of a recently-developed pattern classifier called support vector machine(SVM) in expressway incident detection.
研究了有监督学习支持向量网络的的模式识别；
Pattern recognition of support vector network with supervising learning is studied in this paper.
归纳了支持向量机在诸如模式识别、函数逼近、时间序列预测、故障预测和识别、信息安全、电力系统以及电力电子领域中的应用。
SVM applications, such as pattern recognition, function approaching, time series prediction, fault prediction and recognition, information security, power system and power electronics, are described.
支持向量机是统计学习理论的一个重要学习方法，也是解决模式识别问题的一个有力工具。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
绘图模式仅用于光栅装置；它不用于向量装置。
The drawing mode is for raster devices only; it does not apply to vector devices.
支持向量机(SVM)是一种线性机器，广泛用于模式分类和非线性回归。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
它通过利用原始输入码流中的运动向量及编码模式信息来获取下采样后的相应编码信息。
The new macro-block modes information is decided by original modes and motion vectors after down-sampling.
首先分析了支持向量机原理，随后引入一种改进的径向基核函数，在此基础上，提出了一种改进核函数的SVM模式分类方法。
The theory of SVM is studied at first, then an ameliorated RBF kernel function is presented, based on which an improved kernel function pattern classification method of SVM is put forward.
广义特征向量表达了锅炉系统运行参数与运行工况数间的数值对应关系，因而决定了系统的一种特定污染模式。
The generalized eigenvector shows the relation between operation parameters and the values of work condition for a boiler, at the same time, one kind of particular pollution pattern is presented.
支持向量机作为数据挖掘的一项新技术，应用于模式识别和处理回归问题等诸多领域。
As new technology of data mining, support vector machines (SVM) have been successfully applied in pattern recognition and regression problem, et al.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
利用力的特征量组成的模式向量的端点位置刻划产品质量和模具状态，并制定了判断产品质量、模具状态的门限值。
The movement of the end of pattern vector on the plane indicates the quality of the product and the mould state. A threshold value of the product quality is described.
唯一的不同是在保护模式中微处理器访问IDT而不是中断向量表。
The only difference is that in protected mode the microprocessor accessed the IDT instead of the interrupt vector table.
支持向量机是统计学习理论的一个重要的学习方法，也是解抉模式识别问题的一个有力的工具。
Support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems.
通过自定义行为向量构造准确描述网络蠕虫行为的项目集，并利用遗传算法优化未知蠕虫行为模式挖掘结果。
The worms' behavior item collection is described accurately by defining behavior vector structure, and the unknown worm behavior profile mining is optimized using genetic algorithms.
本文探讨了用神经网络从模式中自动抽取特征向量并确定特征向量是否已具有足够特征信息的方法，给出了计算机模拟的结果。
In this paper, we have studied the method of drawing automatically from pattern and assessing whether feature vectors contain enough feature information. The result of computer simulation is given.
MVT以因子模式为中心，由于因子模式的本征向量解法求解不唯一或称误差太大，使得MVT给人一种人造数据的印象。
MVT based on the factor model has a suspect of "artificial data", because the solution derived from the algorithm of eigenvectors is not unique or with too great uncertainty.
利用本文之有限元素分析模式与级数解模式，与求解特征值与特征向量的方法，可以求得功能梯度板之自然振动频率、振动模态与挫屈负荷。
The present finite element model and the series solution models are used to find the natural frequencies, vibration modes and buckling loads of the FGM plates.
利用本文之有限元素分析模式与级数解模式，与求解特征值与特征向量的方法，可以求得功能梯度板之自然振动频率、振动模态与挫屈负荷。
The present finite element model and the series solution models are used to find the natural frequencies, vibration modes and buckling loads of the FGM plates.
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