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- Compared with traditional methods, such as Nearest Neighbor Rules, Euclidian Distance, Mahalanobis Distance and Neural Networks, this method achieves higher recognition rate. 该方法与传统方法相比 ,克服了后者固有的过学习和欠学习问题 ,并且对复杂模式的识别能力强 ,达到了很高的人脸识别率。
- As to classifier designation, first simple Euclidian distance classifier is used, then back-propagation network is utilized. At last a data fusion scheme is realized. 在分类器设计方面,最初采用了简单的加权欧氏距离判别法,然后利用了BP(Back-Propagation)网络,之后提出了一个数据融合的混合实现方案。
- For character recognition, the minimum Euclidian distance is used. And for those confusing characters such as '8' &'B' and'0' &'D' , a special processing is necessary. 在字符识别模块,用最小欧氏距离法进行识别,对‘8’和‘B’及‘0’和‘D’等易混淆的字符进行特殊处理;
- The method utilized convolutional encoding and signal space expanding to increase Euclidian distance between signals,and the gain of quantization was further improved. 该方法在考虑了SAR原始数据特性的基础上利用卷集编码和信号空间扩展来增大量化信号间的欧氏距离;进一步提高了量化增益.
- This method utilizes convolutional encoding and signal space expanding to increase Euclidian distance between signals, and the effect of quantization is further improved. 对小波变换后的数据进行网格编码量化,利用卷集编码和信号空间扩展来增大量化信号间的欧氏距离,获得了更好的量化效果。
- A nonlinear parameter,Distributive Entropy of Euclidian Distance(DEED),is introduced and based on which,the ratio of between-class DEED to within-class DEED(JRd) is defined as a criterion for the feature selection. 在此基础上定义了欧氏距离分布熵(Distribution Entropy of Euclidian Distance DEED)这一空间分布信息度量参数;同时给出了它的计算方法.
- Thirdly, different judging criteria, including absolute distance, Euclidian distance and similarity matching, are adopted to match different requirements on recognition speed or accuracy. 最后在各级分类中采用了不同的判别准则 ;包括绝对值距离、欧氏距离及相似度准则 ;以适应于时间、准确性的不同要求 .
- Experimental results on ORL,Yale and AR face datasets show that pseudo-PCA,-2DPCA,-MatPCA and-(2D)~2PCA based on the correlation metric outperform PCA,2DPCA,MatPCA and(2D)~2PCA based on the Euclidian distance. 在ORL,Yale和AR等人脸数据集上的实验表明,该类方法的识别率高于相应的基于欧氏距离的PCA,2DPCA,M atPCA和(2D)2PCA等方法。
- Complex LMS Algorithm is researched and the TCM adative equalizer with pre-decision is designed. A new method with Euclidian distance associated with energy distribution characteristic for decision is presented. 研究了复数LMS算法,设计出基于预判决的TCM自适应均衡器:给出一种基于欧氏距离和信号能量分布联合判决的算法,能够在载波恢复不理想时提高预判决的可靠性。
- Based on the Euclidian distance measured on 7 economic characters by using phenotyhic clustering method, 40 sugarcane genotypes were grouped into 6 clusters from which 24 genotypes were selected. 应用表型聚类法,根椐7种性状的欧氐距离把40个甘蔗基因型划分为6个类群,从中筛选出24个基因型。
- The DTW lower bound and its discrete wavelet transform of query sequence were computed to form a query super-rectangle, thus the similar matching in original space based on DTW was converted to that in wavelet transform space based on Euclidian distance. 给出了查询序列的DTW距离边界和其在小波空间的查询超矩形的计算方法;从而将原始空间的基于DTW距离的相似匹配转换为小波空间基于欧氏距离的相似匹配.
- It is found that the 3-10 samples, which have the nearest Euclidian distance (<1.5) to the prediction sample in the same cluster, are enough to build the octane number prediction model. 实际应用时;在待测汽油样品共同参与聚类的条件下;用与待测汽油样品为同一类、并有最小欧氏距离(<1 5)的310个样本作为构建辛烷值预测模型的样本。
- By using the Euclidian distances of the phase point in phase space, both the phase density and the phase variance are calculated. 利用状态空间点间的欧氏距离来计算脑电状态空间的态密度和态方差.
- The mountains were hazy in the distance. 远处的群山笼罩在雾霭之中。
- The demands of customers and the productions of companies are deputized by the matrixes,and the Euclidian distances in this paper describe the discriminations between the demands of customers and the productions of companies. 以顾客个性化需求矩阵和企业产出属性矩阵分别代表顾客的需求和企业的产出,以个性化需求与企业输出属性之间的欧氏距离表示企业输出产品的属性与顾客个性化需求之间的差别。
- The sparseness of LS-SVM is thus obtained from the regression model to decrease greatly the computation quantity by way of removing most of the original sample points in accordance with their Euclidian distances. 根据样本点间欧氏距离的大小,去除原变量空间中大部分的样本点,从而获得回归模型的“稀疏”特性,大大简化模型复杂程度。
- The sparseness of LS-SVM is thus obtained from the regression model to increase greatly the computation speed by way of removing most of the sample points in accordance to the Euclidian distances between input variables and sample points. 根据输入变量和样本点间欧氏距离的大小;去除回归模型中大部分的样本点;从而获得回归模型的“稀疏”特性;大大提高计算速度.
- He judged the distance to a nicety. 他判断距离很正确。
- I make the distance anywhere between ten to twelve miles. 我猜想距离在十到十二英里之间。
- At a distance of six miles you can't see much. 距离六英里以外的东西很难看清。