fewness中文是什么意思

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用"fewness"造句"fewness"怎么读"fewness" in a sentence"fewness"的同义词

中文翻译手机版

n.
少，少数。

"fewscale tongue-sole" 中文翻译 : 少鳞舌鳎
"fewkes" 中文翻译 : 菲克斯
"fewson" 中文翻译 : 费森
"fewita" 中文翻译 : 欧洲批发商和国际贸易协会联合会
"fewspine glassy" 中文翻译 : 少棘双边鱼
"fewflower wildrice root or rhizome" 中文翻译 : 菰根
"fewspine grouper" 中文翻译 : 线点鳃棘鲈
"fewflower wildrice fruit" 中文翻译 : 菰米
"fewtrell" 中文翻译 : 菲特雷尔
"fewflower mayten stem and leaf" 中文翻译 : 少花美登木

例句与用法

My riches consist not in the extent of my possessions , but in the fewness of my wants
我的财富不在于我的财产之多,而在于我的欲望之少
Let your riches consist , not in the largeness of your possessions , but in the fewness of your wants
让你的富足不取决于拥有最多财物，而在于你所需的是何等微薄。
If the world persons " irises get into a database , it would have appeared the false and refuse false possibility to very fewness
即使全人类的虹膜信息都录入到一个数据库中,出现认假和拒假的可能性也相当小。
The 20 years recently , financial security and its correlative problems gradually turned into the investigative object for the whole world economists . now , although economists do some theory and practice study for financial security , but that is fewness . and there is still no the specialize study of fssis
目前，国内外学者虽对关系到金融安全的一些具体问题进行了相关的理论与实践研究，但专门研究金融安全及相关问题的论著尚不多见，至于建立金融安全区指标体系的系统性研究则基本上还没有。
Firstly the patterns of the multifingered hands are detailed , eight patterns are defined . the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping , holding and pinching . based on the eight pre - grasp patterns , bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect . the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction . in this paper , support vector machine ( svm ) and binary - tree with clustering is applied in the classification . this method can solve the slow speed and effect with fewness sample in the classification , achieving a good effect . in this papper , we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis
此法解决了输入样本依赖物体的概率密度的特点,简化了分类特征提取的不直观性。本文还采用了支持向量机( svm )和聚类二叉树相结合的方法对机器人手预抓取八类模式进行分类,解决了预抓取模式分类训练速度过慢以及在分类中样本数量偏少而影响分类效果的问题,得到了较高的正确率。本文对预抓取几何形状规则的物体采用直接提取其几何特征,对于预抓取几何形状不规则的物体采用图像分析的方法进行特征提取。