基于识别能力的人脸特征向量均衡

在人脸识别中,通常是把人脸图像投影在特征向量组成的空间中,特征向量决定了人脸识别的效果。同一人的人脸图像在好的特征向量上的投影应具有较集中的分布,反之亦然。从微观意义上提出了每个向量的识别能力的概念,通过计算识别能力的大小,选择具有较大的识别能力的特征向量。为了使每个向量在识别中发挥与其识别能力相对应的作用,根据每个向量的识别能力对它们进行均衡化处理,赋予不同权重,提高了识别率。通过在ORL、Yale人脸数据库上进行试验,验证了该方法的有效性。     

2D HRR Radar Data Modeling and Processing

High Range Resolution (HRR) -based Automatic Target Recognition (ATR) has attracted increasing attention due to a number of potential advantages over alternative radar techniques in moving target identification. Most current HRR-based ATR studies have been conducted using 1D HRR signatures. However, these 1D HRR signatures are generally plagued by scintillation effects, and thus demonstrate highly irregular behavior that dramatically degrades the performance and robustness of algorithms based on these signatures. In order to circumvent this difficulty, an alternative HRR radar data representation and processing technique is presented in this paper. This technique models and extracts the target characteristics directly, based on the 2D HRR raw data. In this paper, we first derive a general, but complex HRR radar model, and then simplify this model by instantiating a set of real-world radar and target parameters for the model. This simplification process produces two HRR radar models with different degrees of simplicity. After establishing this set of models, the typical HRR data processes, such as feature extraction and clutter suppression, are reduced to one problem, which is model-parameter estimation. Based upon the most simplified HRR model we proposed, we devise two model- parameter estimation algorithms. One is a scatterer extraction algorithm based on available 1D Parameter Estimation (1DPE), while the other is based on 2D discrete Fourier Transform (2DFT). In order to examine the performance of these two algorithms a set of simulations are conducted. The experimental results are presented, and the performance comparison between 1DPE and 2DFT is presented.     

基于智能化信息处理的建筑工程造价短期预测

提出了一种新的基于智能化信息处理的建筑工程造价短期预测模型.该模型首次利用数据的高阶统计信息,提出了改进独立分量分析技术.通过构建适用于建筑工程造价的属性重构空间,挖掘出表征能力更强的造价独立属性,用于神经网络的学习和训练,从而建立了全新的建筑工程造价短期预测智能模型.该模型通过发挥独立分量分析强大的信号分离能力,增强了神经网络的学习效率,提高了预测精度.实例数据验证了文中所建模型的有效性.     

System Entropy and Its Application in Feature Selection

1　IntroductionFeatureselection ,ideally ,istoselecttheopti malfeaturesubsetfromacandidatesettodescribethetargetconception .Peopleusuallypaymuchat tentiontofeatureselectionbecauseofitspotentialofsimplifyingthestructureofasystem ,speedinguptheprocessofruleinduction ,reducingthecostofinstanceclassificationandimprovingtheperfor manceofthelearnedresults.Theoptimalfeaturesubsetofasystemisusuallymini featurebiased ,i.e.itprefersdescribingasystemwithfeaturesasfewaspossible[1 ] .Unfortunately ,theprob…     

目标动态极化结构特征提取与识别

本文以宽带极化雷达体制为背景，建立了目标极化结构宽带模型，采用伪本征极化描述宽带下目标极化的结构的动态特性，提出了基于模糊动态特征建模与分类的极化目标识别新方法，对五种飞机目标达到了良好的识别效果。     

听觉特性在数字音频压缩编码中的应用

文章对人耳的听觉特性作了较详细的介绍，指出其在压缩编码中的重要作用，并进一步讨论了它在数字音频压缩技术中的具体应用。     

Experimenting with Feature Interaction Management in SIP Environment

This article reports architectural aspects of a solution for detecting and resolving feature interactions (FI) in SIP-based IP telephony architectures. The solution takes into account the special context of SIP that permits end user programmability, which means the possibility for end users to design their own tailored services and personalize them as much as they like. Programmability renders more frequent the so called multi-component FI situations, where the conflicting services reside in different network components. This type of FI is the more complicated one. The authors describe how the different components of the presented SIP architecture operate together in order to run services and avoid this type of interactions. A prototype of the solution has been developed.     

电子材料分析中的能谱干扰峰

主要阐述了在电子元器件分析中用能谱仪作定性分析时常见的一些干扰峰和容易混淆及误判的一些谱峰。主要有和峰、逃逸峰以及一些在元器件材料分析中常遇到的元素特征峰之间的交错重叠的识别和判定方法，并把这些容易误判的谱线整理列成3种表格，以供参考，这些数据基本覆盖了在X射线能谱仪中可能出现的所有相关的谱峰。     

基于光谱维小波特征的混合像元投影迭代分解

混合像元线性分解是高光谱遥感应用的关键技术之一.本文利用小波变换多分辨率分析的特点,提出了一种以小波低频系数为特征的混合像元投影迭代分解的方法.首先利用离散二进小波提取了高光谱影像特征,再基于影像特征,用投影迭代方法自动确定出端元光谱,并以限制性的最小二乘方法估计出混合像元的组分.实验结果表明,本文方法能够较大的提高遥感影像混合像元的分解精度.     

基于统计特征的二维矢量地图鲁棒水印算法

数字矢量地图的实际应用受到数据安全性的限制，数字水印技术是解决该问题的重要辅助手段．在二维矢量地图数据中嵌入水印需要充分考虑地图数据及其应用环境的特殊性．现有算法所暴露的一个共同的缺陷是水印的嵌入会破坏原始数据的形状特征．本文提出了一种基于数据统计特征的鲁棒水印算法，该算法以地图曲线特征点提取为基础，水印的嵌入能够尽量保持曲线本身的形状特征．实验表明该水印方案具有较好的隐蔽性和鲁棒性，能够抵抗地图几何变换、数据简化、插值，以及小幅度的加性噪声．