城市空间中残留历史建筑的保护与发展

残留历史建筑是现代城市空间中的重要内容,但是国内对它们的保护和发展重视不够,也缺乏合理的方法。本文系统的阐述了城市中残留历史建筑和城市经济、文化、空间意义,以及保护和发展的方法。     

引入指数p的局部保持映射算法

在进行降维时数据集合的多样性要求降维算法求解问题具有灵活性。为此，利用加入指数 来调节局部保持映射算法的约束条件，通过实验观察该指数的引入对降维以及识别率的影响，并总结指数 的范围和设计经验。实验结果表明，指数 可以影响降维效果，使维数降得更低，通过调节提高人脸识别率，在加入高斯白噪声后通过调节指数p也可改善识别的效果。     

Face recognition under pose and illumination variations using the combination of Information set and PLPP features

This paper presents a new approach for face recognition under pose and illumination variations. The concept of information set is presented and the features based on this are derived using the Mamta-Hanman entropy function. The properties of an adaptive version of this entropy are given and nonlinear Shannon transform and Hanman transform which area higher form of information set are formulated. The information set based features and the nonlinear Shannon transform features are separately combined with the Pseudo-inverse Locality Preserving Projections (PLPP) for improving their effectiveness. The performance of the combined features is compared with that of the holistic approaches on four face databases (two FERET, one head pose image, and Extended Yale face database). The features from the combination of nonlinear Shannon transform and PLPP give consistent performance on the three databases tested whereas the well known features from the literature show good performance on one or two databases only.     

Supra-RPC: Subprogram parameters in remote procedure calls

Remote-procedure calls (RPCs) allow distributed, high-level language programs to communicate and synchronize in the usual manner via subprogram calls. One of the great challenges in RPC research is to preserve the traditiional call semantics despite the distribution and heterogeneity of the new environment. The main contribution of SUPRA-RPC is in addressing the passing of subprograms as RPC parameters. In doing so, SUPRA overcomes a number of technical difficulties, stemming from scoping, side-effects and other sources. Since supporting subprogram RPC parameters is harder than supporting non-subprogram RPC parameters, the three (of six) components of the SUPRA architecture extend in novel ways the traditional functionality found in their counterparts in other RPC systems. The SUPRA stub generator extracts information not only from remote entry interfaces, but from any scope potentially referenced by a subprogram passed as an RPC parameter. In addition to the usual call- and accept-stubs and the marshaling and unmarshaling routines, the generator constructs out-of-scope access stubs, callback' and callback-handling-stubs, and modified parameter subprograms and others. The SUPRA run-time support manages a run-time symbol table to keep track of referencing environments and out-of-scope objects. When an out-of-scope object is unavailable for access or execution on the server, the object is reached by a synchronous, ‘under-the-covers’ callback. The SUPRA process management supports servers with independent threads of control, manages (possibly nested) callbacks and pools of callback handler threads, and maintains correct identification of thread-initiated calls or callbacks. A SUPRA prototype has been implemented on Sun Unix workstations. The prototype supports C, C++ and CommonLisp programs. A prototype graphical demonstration has been implemented as well, that represents RPC concepts in terms of common life objects and situations.     

Material-Discontinuity Preserving Progressive Mesh Using Vertex-Collapsing Simplification

Level Of Detail (LOD) modelling or mesh reduction has been found useful in interactive walkthrough applications. Progressive meshing techniques based on edge or triangle collapsing have been recognised useful in continuous LOD, progressive refinement, and progressive transmission. We present a vertex-collapsing mesh reduction scheme that effectively takes shape and feature preserving as well as material-discontinuity preserving into account, and produces a progressive mesh which generally has more vertices collapsed between adjacent levels of detail than methods based on edge-collapsing and triangle collapsing.     

温度和紫外光对山梨酸及对羟基苯甲酸乙酯稳定性与防霉效果的影响

本文研究了温度和紫外光对食品防腐剂山梨酸、对羟基苯甲酸乙酯的稳定性和防霉效果的影响.试样在50至130℃下加热5至120min,分别用抑菌圈法和分光光度法测定它们的防霉效果和分解程度.结果表明,随着温度的提高和加热时间的延长,试样的防霉效果和稳定性均下降.另外,二种防腐剂的水溶液,紫外光照射2h内,不发生明显变化.     

核邻域保持判别嵌入在人脸识别中的应用

为更有效地进行数据降维,将核映射思想引入到邻域保持判别嵌入中,提出一种核邻域保持判别嵌入的流形学习算法。以类内相似度矩阵与类间散度矩阵之差作为鉴别准则,使类间散度矩阵不受满秩的约束,从而解决人脸数据的非线性和小样本问题。在ORL和Yale人脸库上的实验结果表明,该算法具有较好的人脸识别性能。     

基于Contourlet变换与LPP的表情识别

提出一种基于Contourlet变换与局部保持投影(LPP)的人脸表情识别方法。将人脸表情图像分割为左眼(包括眉毛)、右眼(包括眉毛)和嘴三部分,利用Contourlet变换对局部表情图像和原始图像进行处理,得到图像的低频分量和高频分量。结合局部表情图像的低频分量与原始图像的高频分量,采用LPP算法提取表情特征,并利用支持向量机进行分类。实验结果表明,该方法的识别率较高。     

基于Curvelet及LPP的人脸识别算法

基于人脸图像的曲线奇异性及高维图像数据带来的计算复杂性．提出一种结合Curvelet变换与LPP的人脸识别方法。首先通过Curvelet变换对人脸图像降维,利用LPP将图像投影到最优子空间中,利用支持向量机进行分类识别,实验结果表明该算法的识别效果优于小波变换结合LPP方法、LPP方法。     

应用于人脸识别的改进局部保持投影算法

局部保持投影算法（locality preserving projections,LPP）作为降维算法,在机器学习和模式识别中有着广泛应用。在识别分类中,为了更好的利用类别信息,在保持样本点的局部特征外,有效地从高维数据中提取出低维的人脸图像信息并提高人脸图像的识别率和识别速度,使分类达到一定优化,基于LPP算法结合流形学习思想,通过构造一种吸引向量的方法提出一种改进的局部保持投影算法（reformation locality preserve projections ,RLPP）。将数据集利用极端学习机分类器进行分类后,在标准人脸数据库上的进行试验,实验结果证明,改进后算法的识别率优于LPP算法、局部保持平均邻域边际最大化算法和鲁棒线性降维算法,具有较强的泛化能力和较高的识别率。