1) sequential feature selection
贯序特征选择
1.
The sequential feature selection method is studied for optimizing the feature set.
研究了舰船辐射噪声听觉特征的提取方法,包括美尔频率倒谱系数特征、语音动态参数特征等,组合成描述舰船的特征集,运用贯序特征选择方法对特征进行优化。
2) sequential selection
序贯选择
3) feature selection
特征选择
1.
Fast VQ algorithm for hyperspectral image compression based on feature selection;
基于特征选择的高光谱图像快速矢量量化算法
2.
A feature selection method based on ReliefF evaluation and complementary coefficient;
一种基于ReliefF评估和互补系数的特征选择算法
3.
Application of union adaptive algorithm based on PCA and rough set for feature selection in face recognition;
PCA和粗糙集的联合自寻优特征选择在人脸识别中的应用
5) feature extraction
特征选择
1.
After a brief introduction of the theories of Extension Matrix and Rough Set, Greedy Algorithm, and Heuristic search Algorithm, this paper compares their performance in signal feature extraction applications.
简单介绍了基于扩张理论和粗集理论的优化算法、“贪心算法”和启发式搜索算法等典型特征选择的优化算法,并比较它们的性能,在此基础上选择启发式搜索算法用于信号特征的选择。
2.
Traditional feature extraction method treats each feature separately and disregards the semantic feature such as relativity and comparability.
它的关键技术包括网页清洗、中文分词、特征选择、文本表示以及分类算法。
6) features selection
特征选择
1.
For features selection from infrared remote sensing image,the genetic algorithm(GA) is used to search for the optimum feature subset based on minimum entropy separability criterion.
以最小判别熵可分性判据作为准则,利用遗传算法搜索最优特征子集,实现了遥感红外图像的特征选择。
2.
On the base of Tibetn Character characteristic of graph construction,we explain what the peculiar processing in normalization,features selection and so on.
说明必须根据藏文字丁的结构特点 ,在字符归一化、特征选择方面进行特殊的处理 ,以实现藏文识别中相似字丁的区分。
补充资料：贯序
1.序次;按顺序排列。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条