正态云模型相似度计算方法

本文提出了两种正态云模型相似度计算方法,分别通过正态云模型的期望曲线和最大边界曲线来描述正态云模型的总体特征,实现以期望曲线相似程度或最大边界曲线的相似程度对正态云模型相似度的定量表示.它们在一定程度上克服了传统基于特征向量和随机选取云滴的相似度计算带来云模型期望数字特征过于显著、时间复杂度过高和结果不稳定等方面的不足...     

雷达目标极化散射特性的表征方法

归纳了现有雷达目标极化散射特性的表征方法,回顾了雷达目标极化散射经典表征的物理概念及内涵。阐述和深化了在时变极化波激励下雷达目标的瞬态极化表征方法,提出了瞬态极化相似系数和瞬态极化相似度等概念。简要介绍了雷达目标的瞬态极化时频分布表征思路。试图理清这些刻画手段的研究思路,为适应不同的应用需求提供理论支持。     

一种基于语义的UDDI服务发现机制

针对目前UDDI缺乏对语义推理支持的情况,用OWL-S本体语言描述服务,并给出一种在传统UDDI注册中心之外新建一层Sem-UDDI注册中心的架构。使用Sem-UDDI注册中心灵活地扩展服务的语义信息,并由服务匹配引擎计算服务匹配的语义相似度,记录到服务匹配表中。通过直接从服务匹配表中查找服务,提高匹配效率增强服务发现的能力。     

Important citation identification using sentiment analysis of in-text citations

Citation represents the relationship between the cited and the citing document and vice versa. Citations are widely used to measure the different aspects of knowledge-based achievements such as institutional ranking, author ranking, the impact factor of the journal, research grants, and peer judgments. A fair evaluation of research required a quantitative and qualitative assessment of citations. To perform the qualitative analysis of citations, researchers tried to classify the citations into binary classes (i.e., important and non-important). To perform this task, researchers used metadata, content, citations count, cue words or phrases, sentiment analysis, keywords, and machine learning approaches for citation classification. However, the state-of-the-art results of binary classification are inadequate for the calculation of different aspects of the researcher and their work. Therefore, this research proposed an in-text citation sentiment analysis-based approach for binary classification which effectively enhanced the results of the state-of-the-art. In this research, different machine learning-based models are evaluated to determine the in-text citations sentiments. These sentiment results are further used for positive-negative, and neutral citation counts. Furthermore, the scores of cosine similarity between paper citation pairs are also calculated and used as a feature. This sentiment and cosine similarity scores are further used as features in binary classification. The classification is performed through SVM, KLR, and Random Forest. The proposed approach is evaluated and compared with two state-of-the-art approaches on the benchmark dataset. The proposed approach can achieve 0.83 f-measure with the improvement of 13.6% for dataset 1 and 0.67 with an improvement of 8% for dataset two with a random forest classification model.     

结合多元信息聚类与空间约束的遥感图像分割方法

为了解决传统聚类算法对聚类表征特征量的依赖性以及定义的不完备性,结合遥感图像的数据的空间位置关系提出了一种结合多元信息聚类与空间约束的遥感图像分割方法。针对某一聚类数据,以若干数据点(多元)组合的方式遍历其所有数据点,并定义多元组合的互信息,以表征该聚类的类内相似性;通过计算类外像素对类内多元组合的互信息,刻画类间的非相似性。在此基础上建立类内相似性和类间差异性,然后结合两者之间的平衡关系建立目标函数,并将Potts模型扩展到目标函数以加入空间约束,最后通过最大化目标函数实现图像分割。对模拟及真实全色遥感影像分割结果的定性、定量分析表明:结合多元信息聚类与空间约束的遥感影像分割方法可以避免聚类表征特征量的定义,从根本上消除其对图像分割的影响,并充分考虑遥感数据的空间位置关系。      

Registration and fusion of retinal images--an evaluation study

We present the results of a study on the application of registration and pixel-level fusion techniques to retinal images. The images are of different modalities (color, fluorescein angiogram), different resolutions, and taken at different times (from a few minutes during an angiography examination to several years between two examinations). We propose a new registration method based on global point mapping with blood vessel bifurcations as control points and a search for control point matches that uses local structural information of the retinal network. Three transformation types (similarity, affine, and second-order polynomial) are evaluated on each image pair. Fourteen pixel-level fusion techniques have been tested and classified according to their qualitative and quantitative performance. Four quantitative fusion performance criteria are used to evaluate the gain obtained with the grayscale fusion.     

面向语义构件检索的交互式查询方案生成

 基于语义的构件检索过程中存在的一个突出问题是用户对问题域的理解以及所熟悉的自然语言表达方式与构件的规范语义描述之间存在差异,从而导致用户很难准确刻画自己的检索请求.针对这一问题,本文提出了一种交互式的查询方案生成方法.该方法通过概念映射将用户的自然语言查询转换为本体描述,从而确定用户的查询方案.其中,概念映射需要通过与用户的交互式会话过程完成.该方法可以充分挖掘潜在的用户查询语义,对于提高构件检索的查准率和查全率、减少查询努力具有十分重要的作用.     

基于超体素的区域聚类的复杂场景分割

针对目前算法对复杂场景分割效果不理想问题,本文提出了基于超体素的区域聚类算法。该算法首先利用最新的算法对点云过分割得到超体素;其次通过计算种子超体素与其第一个邻接块的高程差的方式,把即将合并的区域判定为与地面或与其平行平面和其他面,分别采用不同的法向量夹角阈值和自动获取的正交距离阈值进行当前聚类区域与相邻块之间的相似性度量合并,在聚类过程中为了防止欠分割现象的发生,对每次有新的超体素加入时,就更新当前聚类块的法向量等几何信息;最后利用区域生长和改进前后的算法进行了定量和定性的比较,实验分析表明本文算法对复杂场景分割具有准确性和可靠性。     

Vague值(集)相似度量的研究

该文对现有Vague集(值)相似度量方法进行研究,发现目前Vague值(集)相似度量方法存在一些缺陷,给出了Vague集(值)相似度的一种定义,提出了两种Vague值(集)相似度量的改进方法,最后通过数据分析验证了改进方法的有效性和优越性。     

SAR图像不确定轮廓相似度及其可信度构建方法

SAR图像相似度准则是目标识别、图像匹配等研究内容的基础,定义合理可靠的相似度将极大地提高SAR图像解译能力。该文针对SAR图像轮廓特点,提出一种基于不确定轮廓的相似度置信区间及其可信度构建方法。首先将SAR图像不确定轮廓模糊化得到相似度定义,进而通过分析模糊模型分布函数,在给定显著性水平下得到相似度置信区间,并给出可信度定义。实验结果表明,该方法对轮廓定位有一定容错性,对一定程度的断裂轮廓及多边缘轮廓也能得到合理的相似度范围和可信度,符合人眼视觉感知。     

基于支持向量机的中文模糊本体映射

Taking into account that fuzzy ontology mapping has wide application and cannot be dealt with in many fields at present, a Chinese fuzzy ontology model and a method for Chinese fuzzy ontology mapping are proposed. The mapping discovery between two ontologies is achieved by computing the similarity between the concepts of two ontologies. Every concept consists of four features of concept name, property, instance and structure. First, the algorithms of calculating four individual similarities corresponding to the four features are given. Secondly, the similarity vectors consisting of four weighted individual similarities are built, and the weights are the linear function of harmony and reliability. The similarity vector is used to represent the similarity relation between two concepts which belong to different fuzzy ontolgoies. Lastly, Support Vector Machine (SVM) is used to get the mapping concept pairs by the similarity vectors. Experiment results are satisfactory.     

On the relationship between the efficiency measures of multicategory information systems

The concepts of efficiency measures of multicategory information systems and similarity measures between two efficiency measures are introduced and developed. The relationship between two efficiency measures is defined by the corresponding setD, and the appropriate marginal functions are introduced. An earlier work of Ben-Bassat's dealing with the ranking of features according to feature selection criteria is generalized and refined. Consequently, a general similarity measure between two efficiency measures is established. It is analyzed in the case of monotonic marginal functions and, especially, when the setDis convex. Some important sufficient conditions forDto be convex are also given. Finally, two other similarity measures are defined and interpreted.