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- feature extract and select 特征的提取和选择
- Feature extraction and selection 特征选择
- Research on the key techniques of text mining is done in the paper, including text feature extract and feature select, text association analysis, text association classification. 本文以文本数据为研究对象,对文本挖掘的若干关键技术进行研究,主要包括文本特征提取和特征选择、文本关联分析、文本关联分类,并提出更有效的文本挖掘算法。
- A target feature extraction and tracking method using Gabor wavelet[J]. 引用该论文 林明秀;董学志;宋建中.
- The segmentations of gait silhouettes have very important influence on feature extraction and subject classification. 步态轮廓的有效分割对于特征提取、目标分类等后期处理有非常重要的影响。
- The minimum distance method is used to match SVD feature extraction and the truncation error method is for PCA. 针对奇异值分解的特征提取采用的是最小距离分类法,针对主成分分析的特征提取采用的是截断误差分类法。
- Image segmentation is the foundation and crux of object recognization, positioning, feature extraction and modeling. 图像的分割是目标识别、定位、特征提取与建模的基拙和关键。
- Methods of feature extraction and classification of target in model-based SAR ATR using feature are studied systemically in this paper. 本文系统研究了利用特征基于模型SAR ATR系统中，SAR图像目标特征提取方法和分类方法。
- The technology of Feature Extraction and Analysis is an important step of ATR.The relation between both is supplement each other. 而特征提取与分析技术是目标识别的一个重要环节，二者的联系非常紧密，特征提取的好坏会直接影响到目标识别的准确程度。
- Feature extraction and classification is considered as the bridge between Computer-Aided Design (CAD) and Computer-Aided Process Planning (CAPP). 摘要特徵抽取与辨认被公认是电脑辅助设计与电脑辅助程序规划之间桥梁。
- Right-click Error Logs and select Configure. 右键单击“错误日志”,然后选择“配置”。
- Right-click Roles and select New Role. 右键单击“角色”并选择“新建角色”。
- The feature extraction and separation of vibration signals from mechanical faults are the most important and key steps in mechanical vibration diagnosis. 在机械故障的振动信号分析诊断中,故障特征信号的分离和提取是最重要和最关键的步骤之一。
- Right-click in the text box, and select Properties. 右键单击文本框,并选择“属性”。
- This paper applies BP Neural Network to classification based on feature extraction and with a linear perceptron for recognition of individual characters. 本文在特征抽取的基础上，采用BP网络进行分类，并附加线性感知器来实现单字的有效识别。
- Right-click on the chart and select Format Object. 右击图表并选择“设置对象格式”。
- The LLE algorithm which based on the manifold learning technique is applied for ear feature extraction，and the NFL-based classifier is used for ear recognition. 首先依据流形学习思想，采用局部线性嵌入算法提取人耳图像特征，然后采用最近特征线分类器进行人耳识别。
- Automated data extract and collection. 自动提取和搜集数据。
- Right-click the breakpoint and select Condition. 右击该断点并选择“条件”。
- In this article, local discriminant basis (LDB) algorithm based on wavelet packet transform (WPT) is utilized to implement feature extraction and emitters recognition. 本文基于小波包变换,采用局部判别基(LDB)方法进行辐射源信号特征提取与识别。
