The low frequency sub - image is transformed by dct , and only a small set of coefficients is retained as the feature . a euclidean distance nearest - neighbor classifier is designed to recognize the face 小波变换后再进行dct变换，将dct系数的一个小子集作为特征向量，并采用基于简单欧式距离度量的最近邻分类器进行识别。
According to the study on case category , by applying the cooperation of the inductive indexing method and the near - neighbor method , the system entrance and the case shape retrieval of cbid system was realized 根据系统案例类别研究的结果,本研究主要运用归纳索引法和最临近法相结合的检索方法,实现了cbid系统的入口和案例造型检索环节。
A method based on fuzzy equivalence relation is applied to implement target classification and a synthetic algorithm is presented to fulfill multi - layer structure among groups by using the nearest - neighbor method and field knowledge 应用基于模糊等价关系的方法实现目标编群，并提出一种基于域知识和最近邻法相结合的算法来实现群结构递增形成的策略。
The low frequency sub - images are obtained by utilizing two - dimensional wavelet transform for several times . the features are extracted by applying lda to the sub - images . the nearest - neighbor classifier is designed to recognize the face 首先对原图像进行若干层二维小波变换，得到低频子图像，然后利用lda进行特征提取，最后利用最近邻分类器进行分类识别。
This study employed six data mining methods , including logistic regression , discriminant analysis , artificial neural networks , k - nearest - neighbors , na ? ve bayes classifier , and classification trees , to find the most important factors of earthquake - caused landslide 本研究利用六种资料探勘方法，包括逻辑回归、判别分析、类神经网络、最近邻法、贝氏分类器、分类树，探讨影响地震引起山崩的重要因子。
The method adopts a multi - layers and nearest - neighbor strategy based on the attribute - model knowledge reuse degree to match a case , and the rule - based reasoning to accomplish the reuse of the case modeling experience and the revise of modeling result 该方法使用基于属性建模知识重用度的多层加权最近相邻检索方法实现事例的检索；使用基于规则的推理方法完成旧事例建模经验的复用与建模结果的调整。
The fast nearest - neighbor search algorithm was proposed to accelerate the process of anomaly detection . it can reduce the unnecessary vector similarity measures , producing a large computation time saving and the high real - time performance of anomaly detection system 网络异常检测的可用性最为重要,为了提高算法分析的效率和系统的实用性,针对码书的结构,设计实现了一种基于向量约减的快速最近邻搜索算法来实现高效的网络异常检测。
Secondly we analyze the process of motion estimation and compensation . we use nearest - neighbors search ( nns ) algorithm , instead of full search algorithm , to reduce search times with little degradation . we use sad as block match function , due to the appropriate computation and easy hardware implementation 其次分析了运动估计与补偿过程，采用最邻搜索作为搜索策略，在搜索质量下降很少的前提下，大大减少了搜索次数；采用适于硬件实现且计算量适中的sad作为块匹配准则函数。
The nearest neighbors of each individual and the distances between each individual - neighbor pair in elaeagnus mollis communities were obtained by using the nearest neighbor ' s analysis . based on the primary results above , the spatial pattern and interspecific segregation in the communities were studied by x2 test with a subtable method of a n n nearest - neighbor contingency table 应用最近邻体法判定每个个体的最近邻体植株，得到每个基株-最近邻体种对的距离，进而采用n n最近邻体列联表的截表法，研究了翅果油数群落的种间分离。
Thirdly , the new method and nearest - neighbor method , single linear interpolation , bilinear interpolation were coded by vc + + , and a mfc application , bmpinterpolation , was achieved . many kinds of examples were tested using bmpinterpolation , including single color images and true color images ( 24bits ) , photos and images after 3d rendering by 3dmax . the comparison between new method and the others indicates that the new method can not only get higher quality of images but also match the requirement of procedure speed 用该程序可以实现了对单幅位图文件的读取和插值放大,通过单色和彩色图像、照片图像、三维渲染图像等放大处理算例的检验,说明了本文的方法和程序是成功有效的,新算法明显优于几种简单插值放大方法的轮廓清晰度,且具有很好的快速性,兼顾了自动立体镜三维显示的快速性和清晰度要求。
