Integrating Multi-Source Web Records into Relational Database

How to integrate heterogeneous semi-structured Web records into relational database is an important and challengeable research topic. An improved model of conditional random fields was presented to combine the learning of labeled samples and unlabeled database records in order to reduce the dependence on tediously hand-labeled training data. The pro- posed model was used to solve the problem of schema matching between data source schema and database schema. Experimental results using a large number of Web pages from diverse domains show the novel approach＇s effectiveness.     

乐谱图象识别方法的研究

乐谱识别研究从七十年代ＭＩＴ的两篇博士论文开始至今已有二十多年的时间。近些年来随着硬件技术的迅速发展，乐谱识别的研究也取得了很大的进展，在这篇文章中我们对几种最典型和最具影响的识别方法作了分析和研究。文中还介绍了最新研究成果，并讨论了这个领域里存在的问题。     

Fingerprint representation methods based on B-Spline functions

The global characteristics of a fingerprint image such as the ridge shape and ridge topology are often ignored in most automatic fingerprint verification system.In this paper,a new representative method based on B-Spline curve is proposed to address this problem.The resultant B-Spline curves can represent the global characteristics completely and the curves are analyzable and precise.An algorithm is also proposed to extract the curves from the fingerprint image.In addition to preserve the most information of the fingerprint image,the knot-points number of the B-Spline curve is reduced to minimum in this algorithm. At the same time,the influence of the fingerprint image noise is discussed.In the end,an example is given to demonstrate the effectiveness of the representation method.     

Improving the precision of the keyword-matching pornographic text filtering method using a hybrid model

With the flooding of pornographic information on the Internet, how to keep people away from that offensive information is becoming one of the most important research areas in network information security. Some applications which can block or filter such information are used. Approaches in those systems can be roughly classified into two kinds: metadata based and content based. With the development of distributed technologies, content based filtering technologies will play a more and more important role in filtering systems. Keyword matching is a content based method used widely in harmful text filtering. Experiments to evaluate the recall and precision of the method showed that the precision of the method is not satisfactory, though the recall of the method is rather high. According to the results, a new pornographic text filtering model based on reconfirming is put forward. Experiments showed that the model is practical, has less loss of recall than the single keyword matching method, and has higher precision.     

运动点声源声传播模型的数值算法

 从声传播的基础波动方程入手,推导了波导中运动点声源的声传播模型,并将推导结果发展为适用于计算机数值实现的简正波形式.该结果为采用匹配场处理技术对运动目标进行定位奠定了基础.     

注意机制及其在模式匹配认知中的作用

引入注意函数,定量地描述\\"集中注意\\"的程度.它由系统内部的状态分布决定,并调控系统演化的规则,特别是调控系统对信息处理的策略,可称为自组织注意(或策略性注意),以别于一般所谓的选择性注意,且不需引入附加皮层.数值模拟表明,具有自组织注意机制可以很快捷有效地完成匹配任务,尤其是对输入有快速或突然变化时更为重要.     

基于高分辨雷达的运动目标参数估计方法研究

根据运动目标的频域回波的特点，深入研究了一种具有多项式相位结构的运动目标回波仿真模型，并提出了基于该模型的多特征参数提取方法。该方法基于匹配傅立叶变换理论，依据频域雷达目标回波特征构造匹配函数，对目标回波数据进行匹配傅立叶变换，变换结果的主瓣坐标反映了目标散射点的距离及速度信息。大量的仿真实验结果证明，该方法十分有利于进行运动目标的特征提取。根据对仿真结果的分析，进一步给出了改进算法，使得在较低信噪比情况下也能够有效的检测出目标上的散射点的距离与速度参数。     

基于多线索的车辆跟踪方法研究

针对车载摄像机的汽车辅助驾驶系统,提出了一种基于多线索的车辆跟踪算法。利用运动估计预测目标在下一帧的感兴趣区域,即跟踪窗。在跟踪窗内联合使用车辆的先验知识、评估环节、分块模板等线索定位车辆目标。在跟踪过程中,提出去除误识别的措施。这种基于多线索的车辆跟踪方法实现了对后方多车辆的稳定跟踪,也适合前视车辆。实验结果表明该算法是鲁棒和准确的。     

驾驶困倦预警系统中眼部状态识别的研究

为判断驾驶员是否处于疲劳驾驶状态,通过对人脸正面图像中的眼部状态的研究,提出了一种判断算法.首先基于灰度投影曲线和人脸几何特点提取驾驶员的眼部区域,然后利用事先提取的驾驶员睁眼时的瞳孔区域模板在该区域进行匹配,通过匹配初步判断出驾驶员是否属于疲劳驾驶.实验结果表明,该算法简单高效,在满足一定外部条件下,误判率较低.     

用CCD改进的光电色选系统

本文论述了CCD的工作原理,以及与之相应的色选机中其它部分选取应注意的事项,介绍了光谱匹配在色选机设计过程中的重要性,并对其中的重要问题进行介绍.