SSDA算法(序贯相似性检测)是针对一般模板匹配算法计算量大而提出的减少计算量的误差累计算法。
The sequential similarity detection algorithm (SSDA) is applied to image matching because the calculating work is considerable by using the algorithm of common template matching.
实验表明该算法获得的图像匹配结果较传统算法在颜色相似度和细节保持方面均有明显的提高。
Experiments show that the proposed algorithm has obvious advantage over traditional ones, especially in color difference and image details.
提出一种多尺度的时间序列相似模式匹配算法。
This paper proposed a multi scale similar pattern match approach for Times Series Databases.
在块匹配时，将图像块进一步细分，改进了相似度测量算法的准确性。
To make blocks match better, the algorithm improves the accuracy of similarity measurement through subdividing image block.
为了克服指纹识别中的常见问题，提出了一种基于改进的相似三角形的指纹细节点匹配算法。
In order to overcome the common problem in fingerprint recognition, a fingerprint minutia matching algorithm based on improved similar triangle is proposed.
该方法将极化相似度量引入到局部极大值匹配算法中，有机地结合了散射中心特征点的空间域和极化域的信息。
By combining the polarimetry similarity and the local maxima match ATR algorithm, the method can consider both space and polarimetry information of the scattering centers.
基于人眼综合已有信息来识别同名实体的思想，本文提出了基于空间相似性的面实体匹配算法。
Motivated by the idea of identifying the same entity through integrating known information by eyes, an areal feature matching algorithm based on spatial similarity is proposed in this paper.
在匹配阶段，多参考中心的使用和相似元分析的结合能在一定程度上克服指纹非线性形变的影响，降低了匹配算法的拒识率。
At the matching stage, using several reference points and in combination with similar element analysis alleviate the effect of nonlinearly deformation and decrease the false reject rate.
本文还对于在相似性查询过程中必要的环节如匹配模式、分类算法和查询中可能存在的问题作了详细地分析。
The thesis also discusses the necessary junctures such as the matching model, algorithms of classification and some possible problems in details.
将经验模式分解和多层前向网络的交叉覆盖算法相结合，提出一种时间序列相似模式的匹配算法。
This paper proposes an effective time series matching method by combining the empirical mode decomposition (EMD) with the alternative covering algorithm.
该算法首先对图像进行边界提取并二值化，然后利用所定义的基于边缘的相似距离(esd)对处理后的二值图像进行相似性匹配运算。
Firstly the new algorithm processes the image by extracting edge and thresholding, then calculates the correlation of the binary images using the defined ESD distance.
匹配算法则使用比值相似度。
Besides, the ratio similarity way is adopted in match algorithm.
然而，由于图像噪声、特征点提取算法以及非匹配点的局部相似性和遮挡的影响，相关匹配中必然存在较多的误匹配。
However, due to the image noise, feature extraction algorithm, as well as local similarity of non-stereo matching points, there must be some false matching between the images.
在信息匹配算法方面，通过计算文档向量之间的相似度，实现网络信息的有效过滤。
Finally, an algorithm for computing document similarity is presented, which filters abnormal information more efficiently.
通过沿时间轴对采样信号加窗的方式构造向量集合，利用余弦相似度进行向量间亲合度的匹配计算，实现在实数域进行匹配计算的实数值负向选择算法。
The matching affinity between two vectors was measured using cosine similarity to develop a real-valued negative selection algorithm with the matching calculation in the real domain.
基于模板匹配的图像跟踪算法有三个关键环节，分别为图像特征表示、相似度计算和目标搜索算法。
There are mainly three key elements in model matching based image tracking method, which are representation of image features, similarity measure and target search method respectively.
本文提出一种基于区域搜索匹配算法，利用测点的颜色信息寻找网格点，进行相似材料位移的非接触测量。
An algorithm based on area search matching was proposed. The algorithm used color information of measure points to find image grids and to measure the displacement in similar material experiment.
然后从分割结果中构造拓扑连接图，采用图匹配算法计算不同模型之间的相似度。
The topological connection graph is constructed from the segmentation result, and used for calculating similarity between 3D models.
采用方向关系矩阵模型进行空间方向关系描述，讨论了一般情况下的空间方向相似性计算，提出了基于空间方向相似性的矢量数据匹配算法流程。
In order to make full use of the accumulative huge climatic data, this paper presents a phase space analogy model of short range climatic forecast with multitime series.
采用方向关系矩阵模型进行空间方向关系描述，讨论了一般情况下的空间方向相似性计算，提出了基于空间方向相似性的矢量数据匹配算法流程。
In order to make full use of the accumulative huge climatic data, this paper presents a phase space analogy model of short range climatic forecast with multitime series.
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