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提高特征的
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  improve the feature
     A new sparse coding based global face features extraction method is proposed to improve the feature classification ability.
     为了提高特征的分类效果 ,提出了一种新的基于稀疏编码的人脸特征提取方法。
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  “提高特征的”译为未确定词的双语例句
     Zernike moment invariants are selected as the recognition features in this algorithm, and are computed based on the superstructure in order to improve the discrimination ability.
     算法选择Zernike矩不变量作为识别特征,并且利用基于上层建筑的矩不变量以提高特征的分类能力;
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     5. Bring forward a benchmark template based mosaicing method, make use of benchmark template to add outside information in micro-vision effectively, and achieve high precision feature location, make test process achieve normalization, automation and suitable for industry application.
     5、分析基于图像内部信息拼接技术的优缺点,提出一种基于基准模板的拼接方法,巧妙地利用基准模板非常有效地实现在微小视场中增加外在信息的目的,进而大幅度地提高特征的定位精度,并且使测量过程标准化、自动化,进而非常适合于工业应用的推广。
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     Secondly, an improved coarse periphery feature with overlapping division is introduced to strengthen the stability of recognition;
     其次是采用改进的粗外围特征 ,并进行二重分割 ,以提高特征的稳定性 ;
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     It alss shows that, without new original information, the separability of features could be improved with appropriate optimization method, so that the probablity to recognize patterns of motions can be improved.
     结论表明 ,在没有增加原始信息的情况下 ,通过合适的特征优化处理可提高特征的可分性 ,从而提高动作模式的辨识率。
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     A Fuzzy C mean clustering method based on the clustering property of sparse coding is used to initialize the basis function of sparse coding to further improve the sparse feature recognition performance.
     根据稀疏编码的聚类特性 ,利用模糊 C均值聚类对稀疏编码基函数进行初始化以进一步提高特征的可分性。
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  相似匹配句对
     Increase cure rate.
     提高治愈率。
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     improve the staff's qualities;
     提高人员素质;
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     The extraction of fingerprint feature is critical to improve the rate of fingerprint recognition.
     要提高指纹识别的识别率,关键是指纹特征的提取。
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     Objective: To increase the diagnostic reliability of spleen rupture by analysing the characteristics of B - mode ultrasound echosonogram.
     目的:通过对脾破裂声像图特征的分析,提高其诊断水平。
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     Feature-based BJCAD System
     基于特征的 BJCAD
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  improve the feature
And based on it, we will analyze Rubine's feature set, and improve the feature set to gain higher recognition accuracy.
      
Instead of the same projector for all classes, training the LDA projector for each subject will serve to improve the feature extraction.
      
In order to improve the feature extraction, image filtering is applied as described in the following sections.
      


This paper describes a study and experiment on handprinted Chinese character recognition. Firstly, it presents a group of stable and essential features of handprinted Chinese character which are the distribution type of long strokes, the type and the numbers of strokes and the numbers of intersections and corners. The features express very well some information on the structural type, the basic elements and the topologic critical points of Chinese characters so that they have great capacity and excellent suitability...

This paper describes a study and experiment on handprinted Chinese character recognition. Firstly, it presents a group of stable and essential features of handprinted Chinese character which are the distribution type of long strokes, the type and the numbers of strokes and the numbers of intersections and corners. The features express very well some information on the structural type, the basic elements and the topologic critical points of Chinese characters so that they have great capacity and excellent suitability for recognizing handprinted Chinese characters. Secondly, it recommends a two-stage recognition scheme which integrates the statistical classification with the knowledge-based inference. Thirdly,it improves a method for the extraction of strokes and feature points of handprinted Chinese characters by a machine learning mechanism so that the accuracy of the feature extraction is raised. Last, it -gives the experiment results.

本文在充分考察了手写汉字和中国大汉字集特点的基础上,提出了一组用于手写印刷体汉字识别的分类特征,它们是长笔划分布类型、各类笔划的数目、交叉点数目和折点数目。利用这组特征进行匹配就可直接识别出GB2312—80汉字集中的绝大部分汉字,再通过一个基于知识的推理过程即可进一步识别出已被分成类组的少数剩余汉字,这种将统计分类与基于知识的推理识别相结合的两级识别方法具有较高的效率。一个适应性较强的汉字笔划和特征点抽取方法也被设计,它是SLSA方法的改进,与机器学习功能相配合,大大提高了特征抽取的正确率。我们根据上述思想建立了一个手写印刷体汉字识别实验系统,并获得了较好的实验结果。

This paper describes a shape analysis method based on corners. Features used in the method are the angle of two lines from centroid to neighbouring corner points and distances between centroid and the corner points. It is proved that these features are invariant to translation, rotation and scale transformations. Dynamic feature matching is used in this paper to improve the recognition and classification precision. The method is used in the recognition and classification of aeroplanes. Experiments prove that...

This paper describes a shape analysis method based on corners. Features used in the method are the angle of two lines from centroid to neighbouring corner points and distances between centroid and the corner points. It is proved that these features are invariant to translation, rotation and scale transformations. Dynamic feature matching is used in this paper to improve the recognition and classification precision. The method is used in the recognition and classification of aeroplanes. Experiments prove that these two classes of features have good results for aeroplane recognition and classification.

本文描述了一种角点的形状分析方法。它选用相邻角点与形心所成直线之夹角,以及角点到形心之间的归一化距离作为特征,并证明了它们的平移、旋转和比例变化不变性。为了提高特征匹配的精度,本文采用动态分析的方法,将其应用于飞机目标识别之中。实验证明,这二组特征有较好的分类能力。

A matching algorithm, which implements the feature matching by detecting edges features from the image,is described in this paper. The space positions of feature are calculated by geometric position of edges feature with subpixel accuracy, but related computer storeage isn't increased at all. It was shown that the height accuracy of the feature matching can be improved significantly using the algorithm.

本文介绍一种特征匹配算法,它用提取的边缘特征进行特征匹配,而用边缘的子像元精度的几何位置计算特征的空间位置,无需增加计算的存贮量但结果可以明显地提高特征匹配的高程精度。

 
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