Chinese translation for "散布矩阵"

scattering matrix

Related Translations:

全面散布:  overall scattering

裂开散布:  ballochore

频带散布:  band spreading

散布谣言:  demagoguerytalebearing

过度散布:  over disperse

散布度:  degree of scatterdispersion degreemeasure of spread

群体散布:  population dispersal

孢子散布:  kdissemination of spores

随机散布:  random scatter

能量散布:  edx energy dispersive x-rayenergydi ipation

Example Sentences:

	1.	By constructing weighted between - class scatter matrix , the classes that are closer to one another are likely to have a greater confusion and should be given a greater weightage 该算法通过构建加权的类间散布矩阵，将距离较近的容易混淆的类别赋以较大的权值。
	2.	A concise representation method of between - class scatter matrix and population scatter matrix is proposed , which suits for all the applications of pattern recognition using fisher criteria 提出了散布矩阵的一种简洁表示方法，这一简洁表示方法适合于一切使用fisher鉴别准则的模式识别问题。
	3.	Firstly , to perform pca or lda on basis of such high - dimensional image vectors is a time - consuming process . secondly , the high dimensionality usually leads to singularity of the within - class covariance matrix , which is a trouble for calculation of fisher optimal discriminant vectors 这样就从根本上避免了在高维的图像向量空间内构造散布矩阵并计算特征向量的困难，大幅度地降低了特征抽取过程所耗费的计算量。
	4.	Standard face images are formed through the above - mentioned processing . during the feature extraction , for those standard face images , regarding the between - class scatter matrix as generating matrix , we extract the algebraic features of face images through k - l transform and singular value decomposition 在人脸特征提取过程中，对经过预处理的标准人脸图像，以类间散布矩阵为产生矩阵，通过k - l变换降维并结合奇异值分解来提取人脸代数特征。
	5.	The conventional principal component analysis ( pca ) and fisher linear discriminant analysis ( lda ) are based on vectors . that is to say , if we use them to deal with the image recognition problem , the first step is to transform original image matrices into same dimensional vectors , and then rely on these vectors to evaluate the covariance matrix and to determine the projector 所提出的这两种方法的共同特点是，在进行图像特征抽取时，不需要事先将图像矩阵转化为高维的图像向量，而是直接利用图像矩阵本身构造图像散布矩阵，然后基于这些散布矩阵进行主分量分析与线性鉴别分析。

Similar Words：

"散布角" Chinese translation, "散布阶段" Chinese translation, "散布界" Chinese translation, "散布金属带" Chinese translation, "散布精度试验" Chinese translation, "散布卷积码" Chinese translation, "散布恐惧者" Chinese translation, "散布控制" Chinese translation, "散布力" Chinese translation, "散布流言" Chinese translation