基于光电传感器的目标轮廓提取及其识别

针对物体外形轮廓特征,给出一种基于主动式光电传感器的轮廓特征提取方法,该方法是通过物体经过传感器组视场时各传感器输出状态来获取特征信息;并结合稀疏表示理论,提出一种基于稀疏表示的目标轮廓识别算法,该算法是将测试样本投影到稀疏域,依据系数的稀疏性对测试样本进行分类。数值仿真与实验结果表明：采用光电传感器组获取的信息能够有效地描述物体;且通过本文算法对不同类型物体进行分类,具有良好的识别效果;对不同条件下获得的特征样本进行分类时,具有良好的鲁棒性。     

国外能源贫困文献综述

能源贫困是世界性难题,它是发展中国家贫困的重要标志。在发展中国家,能源贫困这个问题一直困扰着国家部分地区的发展。为了可以有效地解决能源贫困的问题,本文将对能源贫困的相关文献做出总结,为决策者提供依据和基础。能源贫困是一个抽象概念,通过量化的能源贫困指数,以便定量研究能源贫困问题。本文着重对能源贫困概念的界定、衡量能源贫困度的方法、能源贫困的指标体系构建、解决途径的研究及研究方法和手段进行了简要综述。     

中原经济区框架中的河南会展经济制度创新

根据会展的投入主体不同对会展进行分类。提出全社会重视、制定产业规划、认定试点城市、建设高标准基础设施、重视会展专业人才培养等促进会展经济发展的制度安排。     

慈善捐赠的法律界定

慈善捐赠是多元化的民事法律行为,是自愿、无偿、单务和不可任意撤销的捐赠。慈善捐赠的标的物种类繁多,可为有形财产,可为无形财产。捐赠财产的归属并不单一,应根据捐赠行为属性等因素进行具体分析。受赠对象既可为组织,亦可为个人,但应以捐赠人对受赠人不负有法定救助义务为限,且必须用作有益于社会或个人的事情。慈善捐赠的外延极大,因此须要进行类型化的分析。     

The Good,the Bad and the Unhappy: The Cultural Meanings of Newspaper Reporting on Jackpot Winners

Accounts of jackpot winners and big gambling wins are common in Swedish newspapers. Analysis of over 2000 such newspaper articles reveals that their content is structured according to specific themes and cultural topics. Four such topics are identified: wealth as a test of morals and character, the social impact of wealth, the just and good world, and luck and the occult. Culturally structured narratives like these—which elaborate on mythological and moralistic schemes of good and evil, rewards and punishments, and which concern questions of human nature and social values—have a long history in folk tradition and in Christian moral teachings. Jackpot wins provide a discursive realm for moral and existential questions that, to some extent, fills a void left by the decline of traditional folklore and formal religion. Apparently, this discourse stimulates interest in games and constitutes one of the cultural roots of contemporary gambling.     

Bayesian classification with multivariate autoregressive sources that might have different orders

The main objective of this paper is to develop an exact Bayesian technique that can be used to assign a multivariate time series realization to one of several autoregressive sources, with unknown coefficients and precision, that might have different orders. The foundation of the proposed technique is to develop the posterior mass function of a classification vector, in an easy form, using the conditional likelihood function. A multivariate time series realization is assigned to the multivariate autoregressive source with the largest posterior probability. A simulation study, with uniform prior mass function, is carried out to demonstrate the performance of the proposed technique and to test its adequacy in handling the multivariate classification problems. The analysis of the numerical results supports the adequacy of the proposed technique in solving the classification problems with multivariate autoregressive sources.     

Asymptotic tests and monte carlo studies associated with the multiplicative interaction model

Several authors have proposed approximations to percentage points required for testing certain hypotheses associated with the multiplicative interaction model. Alternative approximations based on the asymptotic joint distribution of the characteristic roots of a noncentral Wishart matrix are proposed in this paper. The type I error rates of the resulting tests and the existing procedures are then compared using Monte Carlo methods.     

How non-normality affects the quadratic discriminant function

The quadratic discriminant function is commonly used for the two group classification problem when the covariance matrices in the two populations are substantially unequal. This procedure is optimal when both populations are multivariate normal with known means and covariance matrices. This study examined the robustness of the QDF to non-normality. Sampling experiments were conducted to estimate expected actual error rates for the QDF when sampling from a variety of non-normal distributions. Results indicated that the QDF was robust to non-normality except when the distributions were highly skewed, in which case relatively large deviations from optimal were observed. In all cases studied the average probabilities of misclassification were relatively stable while the individual population error rates exhibited considerable variability.     

Combinatoric classification of multivariate normal variates

Consider classifying an n × I observation vector as coming from one of two multivariate normal distributions which differ both in mean vectors and covariance matrices. A class of dis-crimination rules based upon n independent univariate discrim-inate functions is developed yielding exact misclassification probabilities when the population parameters are known. An efficient search of this class to select the procedure with minimum expected misclassification is made by employing an algorithm of the implicit enumeration type used in integer programming. The procedure is applied to the classification of male twins as either monozygotic or dizygotic.     

英语边缘介词的探讨

英语界对摫咴到榇蕯的提法较模糊，尚无系统的阐述，文章通过对其定义、特点和分类进行较全面的分析，尤其是对边缘介词中最活跃的部分棗分词介词作了细致探讨，旨在唤起英语工作者和读者关注此类摫咴禂词的存在，并掌握英语边缘介词的使用规律．