特殊周期序列K-错线性复杂度的快速算法

给出一个特殊周期序列GF（3）上周期为3pm的序列的K-错线性复杂度的快速算法,并讨论了它的正确性.其中p为素数,而且3是模p2的本原根.     

含有零值和负值的随机准备金模型

在准备金评估中,由于多数随机准备金模型基本假设的限制是不能直接处理含有零值和负值增量赔款三角形,本文利用一个变换和广义线性模型的混合模型去解决这种情况．     

区间线性规划的最优解

该文指出了前人定义的区间线性规划最优解所在区间存在的问题,用反例说明其不足之处,给出了求任一介于区间线性规划问题任一最优值对应最优解的算法。     

Supervised polarimetric SAR classification method based on Fisher linear discriminant

A supervised polarimetric SAR land cover classification method was proposed based on the Fisher linear discriminant.The feature parameters used in this classification method could be selected flexibly according to land covers to be classified.Polarimetric and texture feature parameters extracted from co-registered multifrequency and multi-temporal polarimetric SAR data could be combined together for classification use,without consideration of the dimension difference of each feature parameter and the joint probability density function of those parameters.Experimental result with AGRSAR L/C-band full polarimetric SAR data showed that a total classification accuracy of 94.33% was achieved by combining the polarimetric with texture feature parameters extracted from L/C dual band SAR data,demonstrating the effectiveness of this method.     

Novel algorithm for pose-invariant face recognition

By combining the AdaBoost modular locality preserving projection(AMLPP) algorithm and the locally linear regression(LLR) algorithm,a novel pose-invariant algorithm is proposed to realize high-accuracy face recognition under different poses.In the training stage of this algorithm,the AMLPP is employed to select the crucial frontal blocks and construct effective strong classifier.According to the selected frontal blocks and the corresponding non-frontal blocks,LLR is then applied to learn the linear mappings which will be used to convert the non-frontal blocks to visual frontal blocks.During the testing of the learned linear mappings,when a non-frontal face image is inputted,the non-frontal blocks corresponding to the selected frontal blocks are extracted and converted to the visual frontal blocks.The generated virtual frontal blocks are finally fed into the strong classifier constructed by AMLPP to realize accurate and efficient face recognition.Our algorithm is experimentally compared with other pose-invariant face recognition algorithms based on the Bosphorus database.The results show a significant improvement with our proposed algorithm.     

基于新障碍参数更新的二阶Mehrotra型预估—校正算法

针对二阶Mehrotra型预估-校正算法的一种变型算法,本文介绍一种新的自适应障碍参数更新法。利用该更新方法提出了相应的算法。新算法与之前的二阶Mehrotra型预估-校正算法相比,不用根据预估步和校正步的步长来确定参数的更新,而是在每步迭代中都采用自适应更新。最后证明了该算法在没有引进任何＂保障措施＂的情况下也具有相同的多项式时间复杂度。     

关于《求解LP问题的部分基变量算法》的勘误及补正

文章针对周康等人的《求解LP问题的部分基变量算法》一文进行了分析,指出其文中算法原理及算法步骤存在的一些错误,补正了算法的不完善之处,并通过数值试验验证算法的计算性能。     

城市化发展与产业结构转变的实证分析

利用1997-2010年影响中国城市化发展的有关产业结构数据,运用多元线性回归分析方法,以Eiews6.0统计软件为分析工具,分析了中国产业结构因素对城市化发展的影响,结果表明：第三产业的发展对城市化有着显著的推进作用,并在此基础上提出了相关政策建议.     

基于最大秩距离码的强安全线性网络编码算法

针对网络编码中的防窃听问题,基于最大秩距离(MRD)码,提出一种强安全线性网络编码算法。在本文算法中,源节点上的消息通过扩域上的MRD码的陪集编码方法进行预编码。同时,中间节点则采用基域上的线性网络码。理论上证明了本文算法可以将一个非安全线性网络码转换为一个强安全线性网络码,即它是一个一般化的强安全线性网络编码算法。与现有的强安全算法的对比表明,本文算法降低了中间节点上的编码域尺寸。