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1)  label co-occurrence matrix
类别共生矩阵
1.
Textural defect detection based on label co-occurrence matrix;
基于类别共生矩阵的纹理疵点检测方法
2.
The Fuzzy Label Co-occurrence Matrix with its features and the distance based outlier detection are proposed as the real-time defect judgment algorithm, which is based on the
本文提出了模糊类别共生矩阵及其特征和基于距离的异常点检测方法作为疵点判别的实时算法,这种方法中色调集合替代了灰度级。
2)  fuzzy label co-occurrence matrix(FLCM)
模糊类别共生矩阵
3)  co-occurrence matrix
共生矩阵
1.
The Gray Level of Image Co-occurrence Matrix
图像检索中灰度共生矩阵的构造与实现
2.
Image retrieval based on blocked histograms and co-occurrence matrix
基于分块直方图和共生矩阵的图像检索方法
3.
First, the four classical texture features, including texture energy, texture entropy, texture inertial moment and local texture calmness, are calculated based on the co-occurrence matrix of the i.
该方法先计算图像的灰度共生矩阵,提取能量等纹理特征量,进行初检索,再通过Canny算子提取图像边缘,用投影法计算外边缘在垂直和水平方向上的投影,对初检索结果按形状特征进行二级检索。
4)  HIS gray symbiosis matrix
HIS共生矩阵
5)  class feature matrix
类别特征矩阵
1.
Decision tree based on class feature matrix;
一种基于类别特征矩阵的决策树算法
2.
An extracting rules algorithm based on class feature matrix is presented,which has made use of the characteristic of discernibility matrix.
充分考虑了可辨识矩阵的特性,提出一种基于类别特征矩阵的决策规则提取算法。
6)  class selfeonjugate matrix
类自共轭矩阵
补充资料:工业行业类别

工业行业类别:国家 1994 年制定的《国民经济行业分类与代码》( GB /T4754 - 94 ),将现行的%26#8220;工业%26#8221;门类调整为%26#8220;采掘业%26#8221;%26#8220;制造业%26#8221;和%26#8220;电力、煤气和水的生产和供应业%26#8221;三个门类。依据产业活动单位其经济活动性质的同一性进行分类,即按企业生产的产品经济用途、使用的原材料、生产工艺性质来划分,而不是按其所属行政管理系统分类。

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