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 normalization algorithm 归一化算法(2)归一化算法(2)校准算法(1)
 归一化算法
 a) In preprocess stage, based on analysis of many normalization algorithm, the author propose a novel non-linear normalization method, which is the combination of point-density and line-density method. (一)在预处理环节，通过对各种归一化算法进行分析，确定了一种基于点密度和线密度相结合的非线性归一化方法。 短句来源 The author of this paper introduced the algorithm of iris normalization,improved the iris normalization algorithm based on the iris location, and used the real edge of pupil as the inner boundary of the iris normalization. 根据在虹膜归一化算法研究中遇到的问题,在虹膜定位的基础上,介绍了虹膜归一化算法,并对虹膜归一化算法进行了改进将瞳孔真实边缘作为归一化内边界。 短句来源
 归一化算法
 a) In preprocess stage, based on analysis of many normalization algorithm, the author propose a novel non-linear normalization method, which is the combination of point-density and line-density method. (一)在预处理环节，通过对各种归一化算法进行分析，确定了一种基于点密度和线密度相结合的非线性归一化方法。 短句来源 The author of this paper introduced the algorithm of iris normalization,improved the iris normalization algorithm based on the iris location, and used the real edge of pupil as the inner boundary of the iris normalization. 根据在虹膜归一化算法研究中遇到的问题,在虹膜定位的基础上,介绍了虹膜归一化算法,并对虹膜归一化算法进行了改进将瞳孔真实边缘作为归一化内边界。 短句来源
 校准算法
 An Automatic Normalization Algorithm for Face Images 人脸图像的自动校准算法 短句来源
 “normalization algorithm”译为未确定词的双语例句
 A Weighted Normalization Algorithm for Estimation of Fundamental Matrix 基础矩阵估计的加权归一化线性算法 短句来源 The normalization algorithm based on rules are presented, and the sound of algorithms is proved by experiment. 在规范化基础上给出XML文档规范化算法，并实验证明了算法的有效性。 短句来源 1. To present a motion normalization algorithm that enables all skeletons in database to share the same skeleton lengths. 1.提出了运动正规化算法,能够保证运动库中所有的运动帧共享相同的骨架长度。 短句来源 Normalization algorithm for object-oriented data model is studied. 面向对象数据模型规范化算法的研究。 短句来源 This normalization algorithm can identify the user interpretation with conflicts, so it improves on algorithms cited in literature [1]. 这一算法可识别含有冲突的用户解释，从而改进了文献[1]中提出的规范化算法。 短句来源 更多

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 normalization algorithm
 Abstract elements are represented using modified Difference Bound Matrices and we use a normalization algorithm loosely based on the shortest-path closure to compute canonical representations and construct best-precision abstract transfer functions. Improved accuracy of brain MRI/SPECT registration using a two-cluster SPECT normalization algorithm and a combinative similarity Given the set of data redundancies (in the form of redundancy-indicating XML FDs) discovered by DiscoverXFD, we describe a normalization algorithm for converting any original XML schema into one in GTT-XNF. This letter presents a face normalization algorithm based on 2-D face model to recognize faces with variant postures from front-view face. The odd order cepstral moment normalization algorithm required the odd moment in interest to converge to at least less than 0.0001. 更多
 An anomaly in the statement of the well-known Berstein algorithm for the automatic generation of Third Normal Form schemas is identified.This anomaly causes some transitive dependencies to escape detection.In order to correct this situation,the transitive dependency test is altered to check for offending attributes instead of entire functional dependencies.An enhanced algorithm is proposed and validated.As a result of this enhancement of the normalization algorithm,the applicability of an important database... An anomaly in the statement of the well-known Berstein algorithm for the automatic generation of Third Normal Form schemas is identified.This anomaly causes some transitive dependencies to escape detection.In order to correct this situation,the transitive dependency test is altered to check for offending attributes instead of entire functional dependencies.An enhanced algorithm is proposed and validated.As a result of this enhancement of the normalization algorithm,the applicability of an important database design tool is increased. 在关系式数据库规范化研究中,(美)Berntsein算法是大家熟悉的自动生成第3范式的算法,然而在某些情况下该算法对传递依赖及部分依赖关系,不能完全消除,其结果不满足第3范式.本文提出的改进算法解决了这个问题,为数据库模式设计增加一有力工具. A method based on segment sequence matching is proposed for on line Chinese character recognition. The stroke number, strode order, and stroke position are selected as the three primary recognizing features. Firstly, in order to lessen the dispersion in class, a non linear shape normalization algorithm line density equalization is used to equalize the stroke position. Then, dynamic programming algorithm is used to look for a optimal matching path between a candidate segment sequence and an unknown... A method based on segment sequence matching is proposed for on line Chinese character recognition. The stroke number, strode order, and stroke position are selected as the three primary recognizing features. Firstly, in order to lessen the dispersion in class, a non linear shape normalization algorithm line density equalization is used to equalize the stroke position. Then, dynamic programming algorithm is used to look for a optimal matching path between a candidate segment sequence and an unknown segment sequence; The matching segment set and lacked and reduced segments are obtained based on the optimal matching path; The distance between an unknown character and every candidate is calculated. Finally, the candidates whose distances are ordered pre ten are deeply determined using the segment matching set and selecting other features, so the final recognizing result is obtained. The experimental results show that, the proposed method could yield good recognizing effect. 文中针对行书体汉字的识别，提出一种笔段序列匹配汉字识别方法．选择笔段数、笔段书写顺序、笔段位置作为主要的识别特征．首先，在预处理阶段，为了减小汉字类内分散性，采用笔段密度均衡化非线性规整法对笔段位置进行了非线性规整；进而在笔段序列的基础上，采用动态规划算法寻找待识笔段序列与候选笔段序列的最优匹配路径；根据此路径，得到匹配笔段集，缺少笔段和多余笔段；然后计算出待识字与每个候选字的识别距离；最后，对识别距离排在前１０ 个的候选汉字，利用匹配笔段集，选择其它特征，作进一步的判别，从而得到最终的识别结果．实验结果表明，本识别方法对于书写较潦草但笔顺比较稳定的行书体汉字，收到了比较好的识别效果 The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras. The 8 point algorithm and the improved 8 point algorithm are widely used linear methods for estimating the fundamental matrix. They have advantages of simplicity in implementation. But they are extremely sensitive to noise and outliers. Hence in most cases, they are useless virtually. A new robust linear method——weighted normalization algorithm is developed by introducing a cost function related to residual... The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras. The 8 point algorithm and the improved 8 point algorithm are widely used linear methods for estimating the fundamental matrix. They have advantages of simplicity in implementation. But they are extremely sensitive to noise and outliers. Hence in most cases, they are useless virtually. A new robust linear method——weighted normalization algorithm is developed by introducing a cost function related to residual errors. Firstly, the matching points with a weight factor are normalized. Secondly, the eight parameters of fundamental matrix are calculated by using the 8 point algorithm. Experiments on simulated and real image data are conducted. The results show that this algorithm is very robust to noises and outliers, and the fundamental matrix with high accuracy can be found. 基础矩阵是对来自同一景物的两幅未定标图像进行分析的基本工具 .对其进行估计的常用线性算法有八点算法和改进的八点算法 ,其最大的优点是运算简单、易于实现 ,但对噪声和错误数据较敏感 ,因此实用性差 .通过引入与余差有关的代价函数 ,给出了一种新的鲁棒性线性算法——加权归一化算法 .首先将原始输入数据加权归一化处理 ,然后再用八点算法求 F阵的 8个参数 ,实现了 F阵的估计 .大量的模拟数据和真实图像的实验结果表明 ,此算法不仅具有良好的鲁棒性 ,而且可提高基础矩阵的估计精度 . << 更多相关文摘
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