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feature相关的网络例句

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与 feature 相关的网络例句 [注:此内容来源于网络,仅供参考]

This extends the feature point from a simplex point to a feature region. Based on these concepts we suggest a new kind of broad sense feature point definement.

首先本文提出了广义特征点和狭义特征点概念,将特征点从单纯的点拓展到特征区域。

The validities of amplitude features and their extraction method suitable in high-frequency SAR image are analyzed when they are used in UWB SAR image. An extraction approach of amplitude feature based on target contour is presented, and the corresponding effective amplitude features are proposed. The old dihedral angle model is analyzed and improved. The approach of azimuthal feature extraction is proposed based on the conclusion of the improved dihedral angle model. The problems, which appear when the common change detection methods are used to extract the change feature based on ROI, are analyzed. And a robust and feasible extraction approach is presented.

分析了适于高频SAR图像的幅度特征及其提取方法用于UWB SAR图像时的有效性,提出了基于目标轮廓的幅度特征提取方法及相应的适用幅度特征;分析了已有二面角模型在建模过程中存在的问题并进行了改进建模,基于改进二面角模型结论提出了方位向特征提取方法;分析了常用变化检测方法用于提取ROI变化特征时存在的问题,提出了一种稳健可行的变化特征提取方法。

According on the fault mechanism of driving parts of bear box, and using the multi-resolution feature and time-frequency localization feature of wavelet transform, the fault feature signals are extracted. Besides, the noise interference is eliminated by using available noise eliminating method.

根据齿轮箱传动部件故障机理,利用小波变换多分辨率特性和时频局部化特性,提取出故障特征信号;并利用有效的消噪技术,去除噪声干扰。

In this paper chip shapes were recognized by using of radbas neural network. We put forward area ratio feature, Euler number feature, etc. geometry feature of chip shape image and thing of those features as inputting vector of neural network. Adopt radbas neural network and training the network using RLS.

研究了径向基函数神经网络在硬质合金刀具切屑形态图像识别中的应用,提出了面积比、欧拉数、分散度等硬质合金刀具切屑形态图像的几何特征,以上述特征作为神经网络的输入矢量,利用径向基函数网络,采用了递推最小二乘法训练该网络。

Firstly, those useless to classify texts are filtered according the category document frequency distribution difference of each feature; and then in order to overcome the limitations of TF-IDF weighting formula a novel weighting formula called TF-CDF is presented . Calculate the weight of each feature according to TF-CDF and build the Vector Space Model for the entire corpus. To select significant features, a feature selection approach based on Variable Precision Rough Set is also proposed and implement with some SQL sentences combining the definitions of VPRS with the advantages of SQL sentences.

该文首先根据特征词的类别分布差异进行特征过滤;然后,分析传统的权值公式TF-IDF的缺点,采用改进的权值计算公式简记为TF-CDF,依据TF-CDF公式计算每个特征词的权值,生成文档集的向量空间模型VSM;接着,提出了一种基于可变精度粗糙理论的特征选择进一步选择对分类贡献度大的特征,并用SQL实现。

At first, four feature attributes were built by content of DNA's four bases. By increasing length attribute of DNA sequence in the space to extent the feature attribute space. Finally, the classification of hyperplane was obtained on the basis of available samples training by using SVC in the feature attribute space.

根据SVM分类器的要求建立特征属性空间,首先由每个DNA中4个碱基的含量得到4个特征属性,然后在此空间中扩充DNA序列长度的属性,最后根据SVM分类器对已知的DNA分类样本做训练得到分类超平面。

Followed by the decomposition phase is optimal feature subset selection, in which the optimal feature subset acquired the best divergence is obtained according to interclass/intraclass distance of the training samples. This procedure is implemented by a Genetic Algorithm, with each possible feature subset encoded as chromosome. Fitness scores in GA are calculated and evaluated based on Jeffries-Matusita distance of the selected training samples.

然后,对这些线性光谱特征利用遗传算法结合训练样本计算类内/类间距离搜索最优分类子集,其具体染色体编码取可能的特征号,适应度函数基于样本平均Jeffries-Matusita距离计算。

Linear feature extraction in feature space corresponds to nonlinear feature extraction in input space.

特征空间中的线性特征提取对应于输入空间的非线性特征提取。

First,the feature subspaces are formed from different pose images using ICA and PCA.Then the pose image is transformed into its corresponding frontal face image using the transformation matrix predetermined by learning.Based on this foundation,the wavelet transform is applied to face images,and the authors compare the frontal face feature coefficients directly which are obtained by using the transformation matrix with the feature coefficients of the original face images,the recognition rate is improved greatly.

首先利用ICA和PCA提取不同姿态人脸的特征子空间,然后利用通过训练得到的姿态转换矩阵合成其相对应的正面人脸图像,实验表明ICA人脸识别算法要优于PCA人脸识别算法,并在此基础上用小波对人脸图像进行预处理,据姿态转换矩阵得到的正面人脸特征系数直接进行分类比较,识别率得到了很大的提高。

Based on the dual-beam interference principle and white light interference feature, this dissertation designs the SWLI surface 3D topography measuring system and analyzes the principle and characters different from that of traditional monochromatic light interference. According to different descriptions of the white light interference feature, the optimal interference point extracting algorithms are classified, analyzed and compared in detail. In the light of the design rule of improving measuring precision and speed simultaneously, two new types of algorithms, named Feature Matching algorithm and Intensity Contrast Moving Window algorithm, are designed to acquire good results according to practical conditions.

基于双光束干涉原理及白光干涉特性,本文设计了扫描白光干涉法表面三维形貌测量系统,分析了该方法区别于传统单色光干涉测量的测量原理及特点,根据对白光干涉特征不同的描述方式对最佳干涉点提取算法进行了分类、分析与比较,并在提高测量精度与测量速度设计原则的指导下,根据测量系统的实际条件设计了两种新的算法:特征匹配法和对比度移窗法,在实际测量中达到了比较好的测量效果。

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I'm not an actor. I'm a professor of paleontology.

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