- vector approach
- vector method
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向量法的英文
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- Reference to mpeg - 7 standards , mainly researches feature extracting schemes of video visual information . it includes histogram refinement in rgb color space , histogram in hsv color space , color coherence vectors algorithm and homogeneous texture descriptor extraction algorithm
论文中主要研究的视觉特征提取方法有： rgb颜色空间的改进直方图法、 hsv颜色空间的直方图统计、颜色相关向量法和提取同类纹理描述符算法。 - 4 . for the improved algorithm experimental results , the average recall is 96 . 35 % , and the average precision is 90 . 87 % . the experimental results indicate that the improved algorithm is suit for chinese text automatic classification
基于改进后的中心向量法重构自动分类器，测试取得了开放测试平均查全率90 . 35 、平均准确率90 . 87和封闭测试平均查全率98 . 36 、平均准确率98 . 74的分类效果，说明改进后的算法适合中文文本分类。 - Another 20 kinds of non - designed contact points are given for the first time . contact determining algorithm of all the above contact types is given using z - buffer algorithm for 3 - d observation , and simulation results show high accordance with results of vector - associated method . simulation for non - designed contact mode with random initial conditions has been done too , and statistics from the simulation indicates that it is important to predict non - designed contact points in practical rvd efforts
全文的工作包括以下几个方面的内容: 1 .建立了周边式对接机构的复杂几何外形的数学描述,描述了对接初始条件范围内,两对接机构相互接近、捕获过程中可能出现的20种设计接触模式,并针对初始接触点首次提出20种非设计接触模式;利用计算机图形学中可见面判别的z -缓冲算法原理,给出了所有接触模式的检测算法,该算法的仿真结果与辅助向量法高度一致,验证了算法的有效性;进行了300组确定首次接触点的随机仿真,统计结果表明,在飞船上实时进行非设计接触模式的预测是非常重要的。 - ( 2 ) the influence to classification result is highly effected by using different classifier , for example , the center - vector algorithm obtains better classification results than other two algorithms . with the character feature , the average recall is 80 . 73 % , and the average precision is 82 . 94 % , and with the chinese - word feature , the average recall is 83 . 6 % , and the average precision is 85 . 97 % . different corpuses influence the classification result . for example , the average recall is 89 . 31 % and the average precision is 88 . 33 % , by using the news web pages as corpus from the web site " www . sina . com . cn " , which adopt the center - vector algorithm to structure classifier and select chinese - word as feature
对三种分类器分别以字、词为特征进行分类测试、分析发现：使用相同的分类算法，用词作为特征项，比以字作为特征的分类效果好；用不同的算法构造分类器对分类效果的影响很大，如中心向量算法在字、词特征下的分类效果优于其他两算法；在以字为特征的情况下，该算法的平均查全率80 . 73 ，平均查准率82 . 94 ；在以词为特征的情况下，该算法的平均查全率83 . 6 ，平均查准率85 . 97 ；选用语料不同对分类效果也有影响，如用新浪网( www . sina . com . cn )网页语料进行测试，使用中心向量法分类器和词作为特征的情况下，平均准确率为89 . 31 ，平均查全率为88 . 33 。 - Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems , where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix . an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed . two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem . the simple additive weighting method is utilized to aggregate the decision information , and then all the alternatives are ranked . finally , a numerical example is given to show the feasibility and effectiveness of the method . the result shows that it is easier than other methods of integrating subjective and objective information
文摘:研究了结合主观和客观信息的模糊多属性决策问题,其中主客观信息分别由属性权重的两两比较矩阵和决策矩阵组成.提出一种结合主观和客观信息的特征向量决策方法,给出了2种求解基于主客观特征向量法的模糊多属性决策方法.这种方法通过求解2个线性目标规划模型得到最优属性权重,然后,通过对决策信息进行简单的加权集结,得到所有方案的排序结果.最后,通过一个算例说明了该方法的实用性和有效性.结果表明,该方法要比其他主客观结合多属性决策方法简单