2) traffic feature methods
流量特征检测法
1.
Current identification technology can be generally divided into four categories:as port identification methods,application layer feature methods, traffic feature methods and connection patterns methods.
这里我们介绍了4种典型的P2P流量检测技术:常用端口检测法、应用层特征检测法、流量特征检测法以及连接模式检测法,总结各个技术的优缺点,最后分析了P2P流量检测技术进一步的研究方向。
3) feature detection
特征检测
1.
Target P feature detection algorithm of impulse response;
基于冲击响应的目标P特征检测算法研究
2.
Affine invariant feature detection based on scale space analysis and depth information
基于深度信息与尺度空间的仿射不变特征检测
3.
Research on LPI signals feature detection based on parallel filter bank and higher order cumulants
基于滤波器组和高阶累积量技术的LPI信号特征检测的新方法
5) detection feature
检测特征
1.
Firstly, local intensity variance is selected as the detection feature to characterize ships of different intensities uniformly and eliminate the influence of varying sea average intensity at the same time.
选用局部统计方差作为目标检测特征,实现对不同亮度舰船的统一特征描述,并消除海面平均亮度变化的影响。
补充资料：分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条