A principal feature of this book is the substantial care and attention devoted to explaining the basic ideas of the subject.
一个这本书的主要特征是解释主题的基本的想法的致力于实际的看护和注意。
The portico is a principal feature of Greek temple architecture and thus a prominent element in Roman and all subsequent Classically inspired structures.
是古希腊庙宇建筑的主要特征之一，因此也是罗马及以后所有受古典主义启示的建筑的一个重要组成部分。
Significant fluctuation with a time-scale of several years exist in the crustal movement, which might be a principal feature for the continental crustal movement;
地壳运动存在着数年尺度的较明显的波动性，这可能是大陆地壳运动的一个主要特征；
The principal feature of such goods or services is that it is not realistically possible to exclude individuals from consumption once they have been made available.
在这类产品和服务被提供的情况下，现实中不可能排除个人的消费；
GSSAPI specifications do not prescribe how a principal acquires credentials, and implementations typically do not provide such a feature.
GSSAPI规范没有指定主体是如何获取凭证的，而且实现典型的也没有提供这样的功能。
Unfortunaly this feature is not yet available in a released version of RabbitMQ (it is planned of 1.6) but is in principal supported by the AMQP API.
很不幸的是，这个特性在当前RabbitMQ的版本中还不支持(计划在1.6)，但是在原则上是应该被amqpAPI支持的。
From researching on the universal principle of feature fusion of image, a new algorithm was proposed which based on the 2 dimension principal component analyses (for short 2dpca).
通过对图像特征融合的一般规律的研究，提出了一种基于二维主成分分析(简称2dpca)的图像特征融合算法。
The prominent feature of modern publicly-owned corporation is separation of ownership and management, giving rise to principal-agent relationship.
现代公司制企业最显著的特征是公司所有权与经营权相分离，由此导致了委托-代理关系的产生。
Since characters and map symbols often overlap with useful image features, the algorithm of principal curve detection aims to obtain "clean" feature images from the original maps.
由于测绘图中的文字、符号常常与有意义的图像特征重叠，主曲线检测旨在从原始测绘图中获得“洁净”的特征图像。
The principal research of content based image retrieve (CBIR) includes two aspects: visual feature representation and similarity measurement.
基于内容的图像检索(CBIR)技术的研究主要包括两个方面：可视化特征提取和相似性度量。
This dissertation mainly studied the image feature fusion based on PCA (principal component analyses) and its application of Small-weak target matching.
本文对基于主成分分析的特征级图像融合及其在弱小目标匹配识别上的应用做了一定的研究和探索。
Here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication.
其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。
A simplified algorithm of nonlinear principal curves called nonlinear principal poly line is developed and its effect for feature extraction of hyperspectral data is researched.
并对非线性主折线算法用于高光谱遥感数据特征提取的效果进行研究和讨论。
It presents a collective introduction to the HART communication protocol, including feature, working principal, structure, etc, which we use in the transducer.
对本文变送器所采用的HART通讯协议，从其特点、工作原理、结构等方面进行了全面的介绍。
This second edition has been completely revised to feature new chapters on principal component analysis, self-modeling curve resolution, and multi-way analysis methods.
这次再版已经被完全修正成特征关于主成分分析，自我模型化曲线决定和多模式的分析方法的新章。
In the process of test, principal component analysis is used as data preprocessing to extract the feature index from vibration signal statistic features as the input of SVDD classifier.
在测试的过程中，主成分分析作为数据预处理，提取特征指数从振动信号的统计特征作为输入SVDD分类。
Based on principal component analysis (pca) Face Feature Extraction MATLAB implementation.
基于主元分析(pca)的人脸特征提取MATLAB实现。
Considering the feature of left matrix fraction description, this article presents a construction method of the stabilization diagram by principal component analysis (PCA).
针对左矩阵分式模型的特点，给出了一种通过主分量分析(PCA)建立稳定图的方法。
On the above basis, we used principal component analysis of the "five factors" for feature extraction and reduced the input dimension of BP network importation.
在此基础上，采用主成分分析法对“五因素”进行特征提取，降低BP网络的输入维度。
The main contributions of this thesis are summarized as follows: 1 Proposed a novel method using principal curve to describe the shape feature of 3d models.
本文的主要贡献如下：1提出一个用主曲线描述三维模型形状特征的新方法。
It presents principal component analysis on image based on neighborhood unions of per-pixel to obtain the eigenvector of per-pixel, then USES PCNN to set on fire to segment image with feature image.
通过对图像在每个像素的邻域的基础上进行主分量分析，产生每个图像像素的特征向量，再用PCNN对得到的特征图像进行点火分割。
From researching on the universal principle of feature fusion of image, a new algorithm was proposed which based on the 2 dimension principal component analyses(for short 2DPCA).
针对二维主成分分析（2DPCA）提取的是人脸的全局特征，但局部特征对人脸识别的作用非常大，提出了一种基于局部特征的自适应加权2DPCA。
A new image feature extraction method based on changing image matrices and image principal component analysis (CIMPCA) is proposed in this paper.
在图像主分量分析的基础上，提出了一种基于图像矩阵变换的主分量分析方法。
The proposed method is composed of the following three parts:(1) The feature space is reduced by the PCA(the principal component analysis) on the normalized input spectra;
该方法包括以下几个步骤：（1）先将训练样本归一化，再利用PCA变换进行降维，获得样本特征向量；
The texture images are processed by principal component analysis(PCA), and the feature vectors are selected.
根据深度图像测定的目标角度，对三维目标灰度图像在其所属特征空间进行分解与重构。
Finally, the results show that the principal can give the supplier better incentives by allocating the weights of products' quality and delivery according to the feature of the task.
最后，结果显示，发包人可以根据任务性质，通过适当配置产品质量与准时交货率权重来激励承包人更好地完成外包任务。
Finally, the results show that the principal can give the supplier better incentives by allocating the weights of products' quality and delivery according to the feature of the task.
最后，结果显示，发包人可以根据任务性质，通过适当配置产品质量与准时交货率权重来激励承包人更好地完成外包任务。
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