多特征融合的视频镜头分割

针对传统镜头分割算法特征单一、分割效果较差等问题，提出了一种多特征融合的视频镜头分割算法。首先，通过建立一种优化模型，融合空间差异度量和感知哈希度量两种重要特征，构造一种镜头边界区分能力更强的镜头边界检测特征，即像素差异度量；其次，结合直方图差异度量，形成有效的镜头边界检测策略，以便更加准确判断是否发生镜头切换。实验结果表明，与传统算法相比，所提算法取得了较好的分割效果，具有较高的查准率和查全率。     

Forecasting the aggregate stock market volatility in a data-rich world

ABSTRACT

In this article, we utilize the basic lasso and elastic net models to revisit the predictive performance of aggregate stock market volatility in a data-rich world. Motivated by the existing literature, we determine several candidate predictors that have 22 technical indicators and 14 macroeconomic and financial variables. Our out-of-sample results reveal several noteworthy findings. First, few macroeconomic and financial variables and most of technical indicators have superior performance relative to the benchmark model. Second, combination forecasts are able to significantly beat the benchmark and some signal predictors Third, the lasso and elastic models with all predictors can generate more accurate forecasts than the benchmark and some other predictors in both the statistical and economic sense. Fourth, the lasso and elastic models exhibit higher forecast accuracy during periods of expansions and recessions. Finally, our findings are robust to several tests, such as different forecasting windows, forecasting models, and forecasting evaluations.     

利用RBF神经网络对装备完好性敏感性进行分析

装备维修保障系统作为装备系统的组成部分,对维持武器装备处于高水平的任务可用状态扮演着不可或缺的角色,高技术武器装备对维修保障的敏感性高。论文确立了装备完好性敏感性分析指标选取的原则,借鉴美军诊断装备完好性的方法,选取了本地库存满足率、工作区率、基地库存满足率等一系列有较强的实际意义的敏感性指标,使用熵权法确定了这些指标的权重,并对源数据进行了标准化处理．最后运用RBF神经网络对装备战备完好敏感性进行了分析,为部队掌控装备完好性提供了一个新的思路。     

Similarity of differential information with subjective prior beliefs

We present a complete, separable and metrizable topology on the product space of information and (subjective) beliefs. Such a topology formalizes similarity of differential information without the assumption of a common prior, but under the assumption that objectively impossible events are considered impossible by subjective beliefs. As an application to the theory of the consumer, we provide results on the continuity of expected utility and demand functions. We also provide continuity results for the value of information and the insurance premium as defined in the literature.     

视觉营销与消费者行为

感官营销对消费者决策有着越来越重要的影响,而视觉在五种感官中起主导作用,相关研究文献也越来越丰富,但这些丰富的研究成果并没有得到系统的梳理,不利于后续对该领域的深入研究。本文依据视觉营销维度的逻辑,对现有视觉营销文献中研究成果较为丰富的维度,也是营销实践中运用最多的维度:形状、光照、位置、陈列方式、视觉与其他感官(听觉、触觉、嗅觉和味觉)交互影响的文献进行了系统的梳理,即梳理了视觉营销上述各位维度对消费者心理和行为的影响,以期为视觉营销理论的深入研究提供框架性的文献指导。     

闽粤两省经济发展比较

同处于泛珠三角的闽粤两省经济，是中国“两岸三地”经济发展的一个重要前沿动力板块。本文对闽粤两省经济发展形态与阶段进行比较，总结了两省在发展阶段、经济结构与发展动力、经济质量与人均水平的不同，并就此提出了对策建议。     

大学生心理健康教育存在的问题及对策分析

大学生作为中国社会文化层次较高的群体,其全面发展的程度直接影响我国社会的发展,而健康心理是大学生全面发展的重要内容,也是大学生全面发展的重要条件。目前有相当数量的在校生均存在不同程度的心理障碍,这一问题已引起了当前社会各界的普遍关注。本文从大学生心理健康的标准谈起,对大学生心理健康的成因进行了详细分析,并提出了对策。     

Uncertainty and crude oil market volatility: new evidence

ABSTRACT

The main goal of this paper is to investigate the predictability of five economic uncertainty indices for oil price volatility in a changing world. We employ the standard predictive regression framework, several model combination approaches, as well as two prevailing model shrinkage methods to evaluate the performances of the uncertainty indices. The empirical results based on simple autoregression models including only one index suggest that global economic policy uncertainty (GEPU) and US equity market volatility (EMV) indices have significant predictive power for crude oil market volatility. In addition, the model combination approaches adopted in this paper can improve slightly the performances of individual autoregressive models. Lastly, the two model shrinkage methods, namely Elastin net and Lasso, outperform other individual AR-type model and combination models in most forecasting cases. Other empirical results based on alternative forecasting methods, estimation window sizes, high/low volatility and economic expansion/recession time periods further make sure the robustness of our major conclusions. The findings in this paper also have several important economic implications for oil investors.     

交通运输业是国土资源经济全局的循环系统

各类交通运输设施网络是十三亿百姓生存空间的循环系统,也是提高国土资源使用价值和物化劳动价值的能动性因素。迄今为止的运输经济学虽言称要涉及到微观经济和宏观经济两个方面,但是常止于把宏观效益视为各个运输环节单一价值要素迭加而成的所谓国内生产总值。然而,运输体系各个环节收支对比的总和仍然只是其微观效益,它的宏观效益是增减该环节对国土经济全局的实际影响,即所谓增益弹性,它必将牵动整个社会和国际间的诸多方面。     

数形结合思想在高职数学教学中的运用

文章从对概念、定理的理解以及解题等方面归纳总结了数形结合思想在高职数学教学中的应用。