vector algorithms中文什么意思

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1. 3 . to meet the real - time demand in the robot soccer competition , this thesis proposed a color image segmentation method using improved threshold vector algorithm in yuv color space . the new algorithm can classify 8 colors in one time , so the speed of the algorithm is improved a lot
   针对足球机器人系统中对视觉系统实时性方面的具体要求，提出了一种改进了阈值向量彩色图像分割方法，对于一个未知颜色的像素点，一次计算就能够判断其颜色，并将其进行分类。
2. This dissertation develops research work for some fields in which ground clutter suppression algorithm may be used for airborne phased - array radar , software design of 3dt - - stap algorithm with adaptive space - frequence steer vector algorithm is completed for clutter suppression realtime processing system based on tigersharc ts101 chip
   本论文围绕机载相控阵雷达的空时二维处理技术展开研究工作,主要任务是为系统选择地杂波抑制的算法,并完成以浮点dsp芯片( ts101 )为核心的基于3dt
3. Secondly , the improved rotation vector algorithms in the pure coning motion are discussed and the computing burden is compared with each other . lastly , computer simulations are executed to test the algorithms " performance . the results show that the rotation vector algorithms can improve the precision of the attitude calculation effectively
   分析了高动态环境下捷联惯导圆锥误差的产生机理，研究了纯锥运动条件下姿态更新的旋转矢量优化算法，对各算法的计算量和精度进行了对比，最后对各算法进行了计算机仿真，仿真结果表明：旋转矢量算法能有效提高姿态算法的精度； 2
4. ( 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 。
5. Based on these descriptions , a nd model called support vector data description ( svdd ) is founded . ( 2 ) a qualitative guide for setting those parameters in oc - svms is investigated . a multi - layer high - speed training strategy was proposed to enable support vector algorithm to handle large training data
   ( 2 )通过分析支持向量机中模型参数对检测结果的影响,给出了确定这些参数的一般方法;提出了一种分层式的快速训练方法,克服了样本个数和维数对支持向量算法应用的制约,提高了训练效率。