To be a utility tool of fractal theory correlation dimension is wi de ly used in status recognition.
关联维作为分形理论的实用工具在状态识别中得到广泛应用；
According to two dimension classification figure of pattern recognition, catalysts with various activities have been well predicted.
根据模式识别二维分类图，很好地预报了不同活性的催化剂。
When solving this small sample problem with high dimension and nonlinear, many traditional pattern recognition methods will tend to occur overfitting phenomenon.
对于这样一个高维数、非线性的小样本问题，许多传统的模式识别方法都容易出现过学习或欠学习现象。
Because the recognition procedure has included multiresolution recognizing computation, the right rate of recognition is in sensitive to the dimension size of the image in some degree.
同时识别结果已经融合多尺度的识别运算，故目标图像大小对识别结果影响较弱。
Optical Formula Recognition is not only the sign of formula recognition, but also include the extraction of the formula, the record of two dimension structure of the formula and so on.
数学公式的识别不仅只是公式中符号的识别，其还包括了公式抽取，公式二维结构的记录等方面的研究。
The effects of dimension, symmetry and tangling or nesting features on assemblability are discussed, and the recognition methods from CAD model of these geometric features are given.
阐述了零件的外形尺寸、对称性以及嵌套和缠绕性等几何特征对零件可装配性的影响，并探讨了这些特征的自动识别方法。
Feature recognition and extraction is the precondition of intelligent dimension.
主要研究了面向尺寸智能标注的特征识别与提取技术。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
The result indicated: the method has a higher recognition rate than the traditional LDA and PCA in the lower dimension space.
实验表明，本文提出的方法在低维空间比传统LDA和PCA有更高的识别正确率。
Face recognition based on rough set and neural network was proposed for the shortcoming of high dimension of PCA face recognition and low recognition rate for non-training samples.
基于粗糙集和神经网络的人脸识别方法是针对PC A方法中存在的高维数问题和它对未训练过的样本识别率低的缺点而提出的。
The result shows that, compared with the time-wavelet power spectrum, the scale-wavelet power spectrum has a higher recognition accuracy and smaller dimension of feature vector.
结果表明，尺度-小波能量谱和时间-小波能量谱相比有较好的分类效果和较低的特征维数。
The texture energy method is combined with pattern recognition and as for actual condition, several two-dimension Windows are made and used.
把纹理能量法与模式识别方法结合，并针对实际情况，构造并应用了几个二维窗口。
Refering to the pattern designing of expert system and using the method of pattern recognition, we realize automatic recognition of one -dimension curred line in computers.
该系统借鉴了专家系统的设计模式，使用模式识别的方法在计算机上实现了一维曲线的自动识别。
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.
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。
This method emphasizes and gives prominence to features which own higher discriminatory power, so the recognition accuracy is enhanced in the low dimension space.
该方法着重强调和突出判别能量较高的特征，从而提高在低维空间的人脸识别正确率。
The traffic sign automatic recognition system is composed of the following modules: image segment, camera calibration, characteristic curve extraction, three-dimension recovery and image matching.
本文设计交通标识牌自动识别系统由以下几个模块组成：图像分割、摄像机标定、特征曲线的提取、三维复原和图像匹配。
The one-dimension bar code recognition system is a background program which supports the recognition system on mobile telephone.
一维条码识别系统是服务于手机识别系统的后台处理程序。
Sensor calibration is one of the key techniques in three-dimension environment recognition from two-dimension images.
而若通过二维图像感知三维世界，传感器的定标（或标定）成为关键技术之一。
Two-dimension bar code is a latest automated recognition technology developed from one-dimension bar code, which is widely utilized in many countries.
二维条码技术是在一维条码基本上发铺起来的应用范畴非常普遍的一种新兴自动识别技术，在世界各国中得到重视和推广应用。
The blurred edge causes the decline of the two-dimension barcode recognition rate.
边缘模糊会导致二维条码识别率下降。
This paper gives the applications of two dimension mixed iteration encryption-recognition.
给出二维混合迭代加密识别的应用。
Ground objects can be effectively recognized by gray co-occurrence vector and gray co - dimension feature vector with BP neural network and Bayesian network, recognition rate of 70%.
利用灰度共生纹理特征向量和灰度共生-差分维数联合特征向量结合BP神经网络和朴素贝叶斯网络都能对地物进行有效识别，识别率在70%以上。
Absrtact: SVM represented many unique advantages in many applications, such as solving the problem of nonlinear, high dimension pattern recognition and small sample problem.
摘要：在解决非线性、高维模式识别以及小样本等问题中，支持向量机表现出许多独有的优势。
Use the image illumination correction, reduce the dimension of face images and different lighting conditions, the use of human face images improved the BP neural network for recognition.
运用了图像进行光照校正，人脸图像进行降维及不同的光照条件下的人脸图像运用改进型的BP神经网络对进行识别。
Face recognition often meet these problems, the dimension of sample too high, the classes of pattern too Mach and each person could only provide a small amount training sample.
人脸识别过程中会遇到各种问题，其中样本维数过高、类别数大、单人训练样本少以及识别的实时性都是亟待解决的难题。
The study on object recognition based on bit-map one-dimension correlative analysis;
提出了一种对图像单目标识别算法性能进行量化评估的方法。
Recognition rate is superior to the traditional PCA algorithm. Finally experiments analyze the relationship between neighbor K and the embedding dimension of algorithms SLLE to the recognition rate.
最后实验分析了SLLE算法近邻数K和嵌入维数对识别率的影响，得到了SLLE算法的最优近邻数K和低维嵌入维数。
In the end, for the extracted features, we used PCA for dimension reduction and SVM for recognition.
最后对于所提取的特征利用PCA降维后送入支持向量机中分类。
In the end, for the extracted features, we used PCA for dimension reduction and SVM for recognition.
最后对于所提取的特征利用PCA降维后送入支持向量机中分类。
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