3D object recognition: Representation and matching

Three-dimensional object recognition entails a number of fundamental problems in computer vision: representation of a 3D object, identification of the object from its image, estimation of its position and orientation, and registration of multiple views of the object for automatic model construction. This paper surveys three of those topics, namely representation, matching, and pose estimation. It also presents an overview of the free-form surface matching problem, and describes COSMOS, our framework for representing and recognizing free-form objects. The COSMOS system recognizes arbitrarily curved 3D rigid objects from a single view using dense surface data. We present both the theoretical aspects and the experimental results of a prototype recognition system based on COSMOS.     

Boxplot-Based Outlier Detection for the Location-Scale Family

Boxplots are among the most widely used exploratory data analysis (EDA) tools in statistical practice. Typical applications of boxplots include eliciting information about the underlying distribution (shape, location, etc.) as well as identifying possible outliers. This article focuses on a modification using a type of lower and upper fences similar in concept to those used in a traditional boxplot; however, instead of constructing the upper and lower fences using the upper and lower quartiles, respectively, and a multiple of the interquartile range (IQR), multiples of the upper and the lower semi-interquartile ranges (SIQR), respectively, measured from the sample median, are used. Any observation beyond the proposed fences is labeled a potential outlier. An exact expression for the probability that at least one sample observation is wrongly classified as an outlier, the so-called “some-outside rate per sample” (Hoaglin et al. (1986)), is derived for the family of location-scale distributions and is used in the determination of the fence constants. Tables for the fence constants are provided for a number of well-known location-scale distributions along with some illustrations with data; the performance of the outlier detection rule is explored in a simulation study.     

试析经营审计的范围

经营审计是现代企业生存和发展的需要 ,也是企业提高经济效益的必然要求 ,但经营审计范围界定不清将直接影响其有效性。本文从经营审计范围界定的必要性出发 ,以其定义、目标为基础 ,借助受托责任、内部控制、管理审计、非会计业务审计等概念详细阐述了经营审计的范围     

Minimizing the expected sample range

Let X_i be i.i.d. random variables with finite expectations, and θ_i arbitrary constants, i=1,…,n. Y_i=X_i+θ_i. The expected range of the Y's is R_n(θ₁,…,θ_n)=E(maxY_i-minY_i. It is shown that the expected range is minimized if and only if θ₁=?=θ_n. In the case where the X_i are independently and symmetrically distributed around the same constant, but not identically distributed, it is shown that θ₁=?=θ_n are not necessarily the only (θ₁,...,θ_n) minimizing R_n. Some lemmas which are applicable to more general problems of minimizing R_n are also given.     

LFMCW雷达的距离/多普勒处理

基于线性调频连续波雷达可提取目标的距离信息和多普勒频率,分析了线性调频连续波在高频雷达中的应用,推导出差频信号的表达式和利用二维快速傅里叶变换进行距离/多普勒处理的理论。提出了将距离/多普勒处理技术与自适应数字波束形成技术相结合,对杂波和干扰进行抑制的同时提取回波目标信息的方法。经计算机仿真结果表明,其方法有效可行。     

LFM-CW雷达距离分段欠采样处理方法

提出了一种用于线性调频连续波(LFM-CW)雷达的信号处理新方法。该方法用带通滤波器在频域內实现差拍信号的距离分段,然后用第一距离段所需采样率对每个距离段进行采样和FFT处理。在距离分辨单元数很大时,这种方法可以大大降低LFN-CW雷达对信号处理器的要求。     

论离婚损害赔偿制度

离婚损害赔偿制度的建立是现代婚姻家庭立法的大势所趋,而制度的构建和完善还需要一个过程。离婚损害赔偿制度有以下三个问题必须明确:一是建立该制度的原因,二是该制度具有的功能作用,三是该制度在司法实践中的适用问题。本文试从以上三个方面加以论述,以推动立法的完善和司法的正确适用。     

合并仲裁的利弊与规制

为更好地解决国际商事交易中的多方当事人争议 ,合并仲裁不失为一种可行的办法 ,首先对合并仲裁的利与弊进行分析 ,然后通过扬利除弊的方法探讨如何对其进行规制 ,其中重点谈到合并关键是条件问题 ,并且提出一些建议 ,从而促进合并仲裁这个新事物的健康发展。     

Expanding the repertoire of evaluation tools so that evaluation recommendations can assist nonprofits to enhance strategic planning and design of program operations

Data are the lifeblood of decision-making and provide a critical component into the complex mosaic from which decisions emerge. Evaluators and decision-makers should, therefore, continuously seek to explore the use of tools that can produce more meaningful, insightful, and useful data so that decision-making can be enhanced and improved. Traditional economic appraisal methods offer much and are very useful and relevant. Standard financial accounting reporting for tax purposes also provide insightful information on the organization’s financial health and that of its individual programs. However, neither offer insight into cost behavior—an important consideration for making program operations more efficient and for long-term strategic planning, forecasting, and design of program operations. Before COVID-19, programs were already challenged with competition for donor dollars and the pursuit for financial sustainability. The COVID-19 environment has considerably exacerbated these challenges. In this current environment, it is more important than ever for nonprofits to optimize limited financial resources to do more societal good. This paper will illustrate how selected concepts from cost and management accounting can be used by both independent program evaluators to improve their recommendations, as well as program administrators in-charge of nonprofits to enhance decision-making.     

基于日度低频价格的波动率预测

利用作者提出的GARCH-X的框架,将以往文献中提出的各种基于金融资产的最高、最低、开盘和收盘等低频价格信息的波动率静态估计,统一地扩展成对波动率的动态预测模型.通过对上证指数近十几年数据的实证分析,并借助于对波动率的高频估计和预测评估的一些最新研究成果,本文揭示出合理地利用价格极差及开盘价的信息可以显著地提高对波动率及风险价值的预测能力.