一种属性不一致性加权的K近邻分类方法

针对传统的K近邻算法在计算样本之间相似度时将每个属性视为同等重要的问题,提出了一种基于推土机距离的方法来计算每个条件属性的权重。首先根据近邻关系划分用于比较一致性的两个分布;之后根据推土机距离设计不一致性评价函数,用于衡量每个属性下各个样本的近邻样本集与这一集合由决策属性细化的等价划分之间的不一致性程度;最后将近邻的不一致性程度转换为相应属性的重要性,用于实现属性加权K近邻分类器。通过在多个数据集上进行实验,该方法对参数的敏感程度低,在多个参数下可以显著提高K近邻的分类精度,并且在多个指标下的表现优于现有的一些分类方法。结果表明,该方法可以通过属性加权选择出更加准确的近邻样本,可广泛应用于基于近邻的机器学习方法中。     

Effective composite image detection method based on feature inconsistency of image components

This paper proposes an effective composite image detection method that uses the feature inconsistency of image components of the composite image to detect tampered regions. The composite image is first divided into image components. Next, the variance of the noise remaining after de-noising in each image component is calculated and used as a feature. Finally, tampered regions are detected using this feature based on a tampering detection rule. Experimental results show that the proposed method has good composite image detection performance.     

一种基于Rough集的缺省规则挖掘算法

Rough集方法是一种处理不确定或模糊知识的重要工具,对基于Rough集理论的缺省规则挖掘算法进行研究,在引入规则支持度概念后,提出了一种基于Rough集的缺省规则挖掘算法MDRBR。实验结果表明,该算法能较好地过滤噪音,提高规则的挖掘效率。     

Merging potentially inconsistent items of structured text

Structured text is a general concept that is implicit in a variety of approaches to handling information. Syntactically, an item of structured text is a number of grammatically simple phrases together with a semantic label for each phrase. Items of structured text may be nested within larger items of structured text. The semantic labels in a structured text are meant to parameterize a stereotypical situation, and so a particular item of structured text is an instance of that stereotypical situation. Much information is potentially available as structured text including tagged text in XML, text in relational and object-oriented databases, and the output from information extraction systems in the form of instantiated templates. In this paper, we formalize the concept of structured text, and then focus on how we can identify inconsistency in the logical representation of items of structured text. We then present a new framework for merging logical theories that can be employed to merge inconsistent items of structured text. To illustrate, we consider the problem of merging reports such as weather reports.     

基于多个时间点联合解相关的卷积盲源分离

实际信号的混合均为卷积混合,且信号是非平稳的。盲源分离的目标就是找到一组分离滤波器,使得源信号的估计信号互相统计独立。结合信号的非平稳性,利用二阶解相关原理,文章阐明了一种在频域实现卷积混合的盲源分离算法,并且考虑了噪声对分离性能的影响。为了避免频点排列次序的不确定性,利用了多阶段盲源分离思想。利用该算法,对两路混合的实录水声信号进行盲分离,得到了两路源信号的估计信号,通过对估计信号的分析,利用信噪比提高率这一标准,验证了该算法的有效性。该算法收敛速度快,精度高,可用于浅海环境下实录水声混合信号的盲分离。     

基于超球近似子空间的协同优化方法及应用研究

针对协同优化的计算结构及计算困难，提出了学科间不一致信息概念，并据此形成系统级优化的超球设计空间。有效地解决了原始系统级优化问题不满足Kuhn-Tucker条件造成的计算困难．并克服了已有梯度方法计算易发散、响应面方法计算量大的缺点。利用中提出的方法对一齿轮减速箱进行了设计，实现了并行设计的目的，设计结果表明了本方法的有效性。     

处理知识库中不一致性的超决定逻辑研究

本文首先分析了现有的能够处理知识库中不一致性的逻辑的不足，然后定义了超决定结构、模型和语义的概念，具体描述了超决定语义的计算过程，从而给出了一种能够处理知识库中不一致性的逻辑,并对该逻辑进行了一些讨论.     

Updating Situation Models: Reply to Zwaan and Madden (2004).

E. J. O'Brien, M. L. Rizzella, J. E. Albrecht, and J. G. Halleran (1998) demonstrated that, consistent with the memory-based text processing view, outdated or incorrect information can be reactivated through a passive resonance process. Once reactivated, this outdated information can still influence comprehension. R. A. Zwaan and C. J. Madden (2004) suggested that the O'Brien et al. findings resulted from problems with the materials used. The present authors show that the possible "problems" identified by Zwaan and Madden do not adequately explain the findings of O'Brien et al. and that Zwaan and Madden's Experiment 3 lacks sufficient control or power to support their alternative interpretation of O'Brien et al. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

飞行模拟器联网仿真中的视景图像抖动研究

基于某型战斗机飞行模拟器系统进行分队战术对抗模拟训练时,发现从本地模拟器视景中观察邻近的远程模拟器时被观察的实体会出现图像抖动现象,严重影响了虚拟仿真的沉浸感。首先介绍了该仿真训练系统及出现的视景图像抖动现象;接着分析了内在原因,指出模型仿真粒度的差异性和网络延迟的随机性共同作用会导致分布式系统中的不同节点出现时空不一致,该现象进一步导致了节点间仿真数据相对值出现高频抖动,当抖动平均幅值超过阈值时会在视景中表现为视觉上的图像抖动,测量了抖动阈值和实体间相对距离的关系,并论证了对相对数值进行平滑是消除视景抖动的正确途径;最后提出了基于加权滑动平均滤波的视景图像抖动消除方法并验证了其有效性。