基于LTP子模式的人脸识别研究

针对局部三元模式提取到的人脸特征通常具有较高的维数,导致特征的紧致度不高,提出一种新的局部人脸特征提取方法——LTP子模式,并结合线性鉴别分析获得最佳的人脸局部纹理紧致特征的分类投影轴.本文在ORL和AR两个标准人脸库上测试,LTP-SP提取到的人脸特征维数不到原LTP特征的30％,但是识别性能却优于原始算法,因此算法具有较好的应用前景.     

从斯图加特大学的发展看德国高等教育百年兴衰

结合斯图加特大学的发展简史,论述了近百年来德国高等教育在多变的政治风云中曲折发展的过程。     

Why Youths Drop out of High School: The Impact of Preferences,Opportunities, and Abilities

In this paper, we develop and structurally estimate a sequential model of high school attendance and work decisions. The model's estimates imply that youths who drop out of high school have different traits than those who graduate—they have lower school ability and/or motivation, they have lower expectations about the rewards from graduation, they have a comparative advantage at jobs that are done by nongraduates, and they place a higher value on leisure and have a lower consumption value of school attendance. We also found that working while in school reduces school performance. However, policy experiments based on the model's estimates indicate that even the most restrictive prohibition on working while attending high school would have only a limited impact on the high school graduation rates of white males.     

Estimating and testing conditional sums of means in high dimensional multivariate binary data

We study the estimation of the strength of signals corresponding to the high valued observations in multivariate binary data. These problems can arise in a variety of areas, such as mass spectrometry or function magnetic resonance imaging (fMRI), where the underlying signals could be interpreted as a proxy for biochemical or physiological response to a condition or treatment. More specifically, the problem we consider involves estimating the sum of a collection of binomial probabilities corresponding to large values of the associated binomial random variables. We emphasize the case where the dimension is much greater than the sample size, and most of the probabilities of the events of interest are close to zero. Two estimation approaches are proposed: conditional maximum likelihood and nonparametric empirical Bayes. We use these estimators to construct a test of homogeneity for two groups of high dimensional multivariate binary data. Simulation studies on the size and power of the proposed tests are given, and the tests are demonstrated using mass spectrometry data from a breast cancer study.     

论素质教育在英语教学中的渗透

课堂教学是实施素质教育的关键。因此 ,应从课堂教学入手 ,把课堂教学与素质教育紧密地联系起来 ,使素质教育巧妙地渗透到英语课堂教学的各个环节中去 ,全面提高学生的综合素质 ,使其成为跨世纪高素质的“复合型”人才     

太仓市计划生育优质服务新机制的成功实践

改革开放的不断深入和市场经济体制的逐步建立为县乡计划生育服务机构带来了新的机遇和挑战,太仓市计划生育优质服务新机制的建立,是计生工作者在长期实践中坚持服务质量意识和对计生工作进行科学管理的结果,是对计划生育优质服务模式的一种有益尝试和创新。     

The 9th grade shock and the high school dropout crisis

Retrospective questions on educational attainment in national surveys and censuses tend to over-estimate high school graduation rates by 15-20% points relative to administrative records. Administrative data on educational enrollment are, however, only available at the aggregate level (state, school district, and school levels) and the recording of inter-school transfers are generally incomplete. With access to linked individual-level administrative records from a very large “West Coast metropolitan school district” we track patterns of high school attrition and on-time high school graduation of individual students. Even with adjustments for the omission of out-of-district transfers (estimates of omission are presented), the results of this study show that failure in high school, as indexed by retention and attrition, are almost as common as on-time high school graduation. In addition to the usual risk factors of disadvantaged background, we find that the “9th grade shock”—an unpredicted decline in academic performance upon entering high school—is a key mechanism behind the continuing crisis of high school attrition.     

Testing sphericity and intraclass covariance structures under a growth curve model in high dimension

In this article, we consider the problem of testing (a) sphericity and (b) intraclass covariance structure under a growth curve model. The maximum likelihood estimator (MLE) for the mean in a growth curve model is a weighted estimator with the inverse of the sample covariance matrix which is unstable for large p close to N and singular for p larger than N. The MLE for the covariance matrix is based on the MLE for the mean, which can be very poor for p close to N. For both structures (a) and (b), we modify the MLE for the mean to an unweighted estimator and based on this estimator we propose a new estimator for the covariance matrix. This new estimator leads to new tests for (a) and (b). We also propose two other tests for each structure, which are just based on the sample covariance matrix.

To compare the performance of all four tests we compute for each structure (a) and (b) the attained significance level and the empirical power. We show that one of the tests based on the sample covariance matrix is better than the likelihood ratio test based on the MLE.     

以汽车、空港经济、皮革皮具等支柱产业为龙头 打造“人才强区”战略

"十五期间",广州市花都区以汽车、空港经济、皮革皮具等支柱产业为龙头,打造"人才强区"战略,为全区经济社会发展奠定了基础。"十一五"期间,花都区实施产业集群化战略,抓住"北优"发展、白云机场扩建、汽车产业基地建设等带来的机遇,进一步解放思想,制定人才优惠政策,以人为本,继续实施"人才强区"战略,为实现人才与经济社会协调发展创造条件,提供支撑。     

Finite Sample Properties of the Two-Step Empirical Likelihood Estimator

We investigate the finite sample properties of two-step empirical likelihood (EL) estimators. These estimators are shown to have the same third-order bias properties as EL itself. The Monte Carlo study provides evidence that (i) higher order asymptotics fails to provide a good approximation in the sense that the bias of the two-step EL estimators can be substantial and sensitive to the number of moment restrictions and (ii) the two-step EL estimators may have heavy tails.