Two step algorithm is proposed for unsupervised detection of linear structure from SAR image, in particular, the road network detection.
提出一种两步算法用于从合成孔径雷达(SAR)图像中无监督地提取线性特征，特别是公路网的提取。
Two-step algorithm is proposed for unsupervised detection of linear structure from SAR image, in particular, the road network detection.
提出一种两步算法用于从合成孔径雷达(SAR)图像中无监督地提取线性特征，特别是提取公路网。
A new unsupervised multiresolution edge detection technique was presented, which combines the morphological filtering, pyramid data structure and fuzzy technique.
结合数学形态学、塔型数据结构及模糊技术，提出一种新的非监督多分辨率边缘检测方法。
Based on the framework of network intrusion detection systems based on data mining, this paper devises an analyzer model of unsupervised learning.
本文在基于数据挖掘的网络入侵检测系统框架基础上设计了一个无导师学习的分析器模型。
Aiming at the weaknesses of current unsupervised anomaly detection techniques, a measurement approach about samples distribution of anomaly data is proposed.
针对现有的无监督异常检测技术的不足之处，提出了一种基于样本分布异常数据实例度量方法。
In order to solve this problem, this paper proposes a split window-based method for unsupervised change detection in multichannel remotely sensed images.
针对这一问题，本文提出一种基于分割窗的无监督多通道遥感图像变化检测方法。
The distance definition for mixed attribute, the outlier factor measured outlier degree of an object and unsupervised intrusion detection method are proposed.
提出了一种适用于混合属性的距离定义和度量对象异常程度的异常因子，由此提出了一种无指导的入侵检测方法。
Researched the unsupervised anomaly detection methods based on clustering analysis, improved the K-means algorithm.
研究了基于聚类分析的非监督式异常检测方法，并改进了K均值算法用于聚类分析。
The effective unsupervised change-detection method is fundamental in many applications in that the suitable ground-truth information is not always available.
由于先验知识并不是很容易获得的，所以在许多实际应用中非监督图象变化检测方法是一种基本方法。
Clustering algorithm is an unsupervised machine learning method well applied in intrusion detection.
聚类算法是一种无监督分类方法，能够很好地用于入侵检测。
Clustering algorithm is an unsupervised machine learning method well applied in intrusion detection.
聚类算法是一种无监督分类方法，能够很好地用于入侵检测。
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