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1)  adaptive normalization
自适应归一化
2)  normalized adaptive weighted function
自适应加权归一化函数
1.
A normalized adaptive weighted function is given for eliminating the mosaic-sew caused by the difference of the pixel gray in the images,which makes the smoothly transition of the mosaic image.
针对序列图像的拼接问题,提出了一种基于兴趣点检测和仿射变换模型的图像配准算法,利用Harris算子检测兴趣点,并引入灰度交叉匹配和兴趣点坐标离散度两级约束策略确定同名兴趣点,通过在图像间建立仿射变换模型实现图像的配准;提出了一种自适应加权归一化函数对拼接图像进行处理,消除由于图像间灰度差异而导致的拼接缝。
3)  normalized parametric adaptive matched filter
归一化参数自适应匹配滤波
1.
In this paper,an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.
文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
4)  selfadaptive reduction
自适应归约
1.
Analysises on factors which impact the performance of the multi level algorithms have been made,and on the basis of which an immune algorithm with selfadaptive reduction has been proposed for the TSP problems.
从理论上分析了影响多级算法性能的因素,并以此为依据构造了求解TSP问题的自适应归约免疫算法。
5)  adaptive autoregression
自适应自回归
1.
A new method to detect DDoS attacks is proposed by fitting the adaptive autoregression model of the FCD time series to transform it into the vector sequence in multi-dimensional space, and identifying DDoS attacks by using the .
据此,提出了一种基于FCD的DDoS攻击检测方法,该方法通过拟合FCD时间序列的自适应自回归模型,将FCD序列转换为多维空间的向量序列,然后使用经过样本训练的K最近邻分类器进行攻击识别。
2.
By approximating the adaptive autoregression model, the FCD time series is transformed into a multidimensional vector series regarded as a description in multidimensional space of state of current network flow, and then a trained support vector machine (SVM) classifier is applied to identify the attac.
该文分析了分布式拒绝服务(DDoS)攻击的特点,提出了一种基于流连接密度(FCD)时间序列分析的DDoS攻击检测方法,该方法通过拟合FCD时间序列的自适应自回归模型,获得能够在多维空间描述当前流量状态的AAR模型参数向量序列,然后使用经过样本训练的支持向量机(SVM)分类器进行攻击识别;充分考虑了报警的时间间隔及分布情况,提出一种报警可信度评估算法对SVM分类结果进行二次处理,以消除网络流量噪声及分类错误所带来的影响。
6)  self-adaptive region merging
自适应区域归并
1.
In this paper,a self-adaptive skin color detection algorithm for color images based on HSV color space,which is composed of skin color segmentation using H threshold,relative significance filter and self-adaptive region merging is presented.
该算法首先使用阈值在HSV空间对人体肤色区域进行肤色分割,然后对分割出的肤色区域使用相对重要性滤波和自适应区域归并,最后将归并后的肤色区域使用人眼定位进行验证,将多人脸检测转化为单人脸检测。
补充资料:自适
【诗文】:
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【注释】:



【出处】:
全唐诗:卷676-39
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