片语

feature variables selection特征变量选择

Feature genes selection特征基因选取

Feature subset selection特征子集选择

feature detection selection特征选择

Feature Vectors Selection特征向量选择算法

feature pixels selection特征点选取

Feature point selection特征点选择

optimal feature subset selection最优特征子集抽取

feature fusion selection特征融合约减

英汉例句

• Secondly, the method of region feature extraction and optimal feature selection are studied based on PCA, and the effective features are constructed for the target by the analysis of the PCA.

  其次，本文研究了区域形状特征提取及基于PCA的特征选择方法，通过对区域特征进行优化选择，构造準确描述目标特性且维数较低的特征。

• Dimension reduction techniques were discussed from the two aspects: feature selection and dimension transformation.

  从属性选择和维变换两个方面对维规约技术进行了概括。

• PRN combined feature selection algorithm is proposed.

  并提出改进的PRN组合特征选择算法。

• Different features have different contribution to saliency, so a new approach for salient region detection with automatic feature selection and weighting is proposed.

  不同的特征对视觉显着性的贡献是不同的，为此提出一种能够自动进行特征选择和加权的图像显着区域检测方法。

• A facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.

  表情识别系统包括人脸检测、人脸特征提取、特征选择以及表情分类等几部分。

• A wide range of methods for feature selection have been applied to English Web documents, relatively few studies have been done on Chinese Web documents.

  已有许多方法用于英文网页的特征抽取，相对而言适合于中文网页的方法还不多。

• Results of feature selection also enable us to identify the most important protein properties.

  特征选择的结果，也使我们能够识别的最重要的蛋白质属性。

• This paper presents two algorithms of linear feature selection used for the study of strong earthquake zoning in Beijing area.

  本文介绍两种线性特征选择算法，并用于北京地区强震危险区划的研究。

• This paper was a review of the methods of feature extraction and feature selection for spam image identification.

  对垃圾图像判别问题中的特征提取和特征选择研究现状进行了总结。

• This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.

  针对基于基因表达数据的分类，本文从特征基因选择和支持向量机分类算法两个方面进行了改进。

• The technologies of content-based retrieval in digital libraries are expounded and the feature selection and storage strategy of the retrieval objects is discussed in the paper.

  本文论述了数字图书馆的基于内容的各种检索技术，并讨论了检索对象的特征选择和存储策略。

• This paper presents a novel feature selection method which is based on class feature domains.

  本文介绍了一种基于类别特征域的特征选择方法。

• In this paper, a web page classification with feature selection and fuzzy learning is proposed.

  本文提出了一种基于相似度的特征选择算法和适应模糊学习算法来实现分类。

• Based on CHI value feature selection and the cover algorithm of forward neural network, realizes the automatic classification of texts after the preprocessing of the texts.

  通过对前向神经网络交叉覆盖算法的分析，针对该算法的特点，文中提出了扩大覆盖半径以减少拒识样本数据的新方法。