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81.
城市空间中残留历史建筑的保护与发展 总被引:2,自引:1,他引:1
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。 相似文献
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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. 相似文献
84.
Alexander D. Stoyenko 《Software》1994,24(1):27-49
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. 相似文献
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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. 相似文献
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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. 相似文献
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卢世军 《电脑与微电子技术》2013,(23):30-33
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。 相似文献
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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。 相似文献