The small-data method is improved by false nearest neighbor method calculating embedding dimension.
通过用虚假临界点法计算嵌入维数可以使小数据量法更加完善。
First, SURF features are extracted from preprocessing images and matched by using the nearest neighbor method.
首先，对经预处理后的序列图像提取SURF特征点，采用最近邻法匹配特征点；
Comparing with the nearest neighbor method, the presented method needs less cost and memory space as the representative samples are only a little part of the training set.
而支撑点仅占全部训练样本的一部分，所以相比最近邻方法具有较小运算量和存储量的优点。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
In this article, I will also make repeated references to the data mining method called "nearest neighbor," though I won't actually delve into the details until Part 3.
在本文中，我会反复提及称为“最近邻”的数据挖掘方法，但我不会过多地对其进行剖析，详细的介绍会在第3部分给出。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
Because precise determination of a computer virus is undecidable, a method based on improved K-nearest neighbor to detect computer virus approximately is presented in this paper.
由于计算机病毒检测的不可判定性，提出了一种基于改进的K最近邻检测方法来实现对计算机病毒的近似判别。
The reverse nearest neighbor search in dynamic environments is becoming a hot topic, and an efficient space trimming method is the bottleneck of such a search.
动态环境中的反最近邻查询已成为空间查询的研究热点，有效的数据空间削减策略是此类查询的瓶颈。
This paper put forward and carried out a text classification method using feed-forward neural network and K-nearest neighbor.
提出并实现了一种结合前馈型神经网络和K最近邻的文本分类算法。
A method to predict the subcellular location of proteins is proposed based on the LZ complexity similarity of symbolic sequences and K nearest neighbor rule.
提出了一个基于符号序列LZ复杂性相似度和K近邻规则的蛋白质亚细胞位点类型预测的方法。
Combining this method with the K-nearest neighbor decision rule, a fixed neighborhood, decision algorithm is developed.
将该方法与K—最近邻判决规则结合，提出了用于判别的固定邻域判决算法。
Real biological data experiments have shown that this classification method outperformed than single neural networks, 1-nearest-neighbor classifiers and decision trees.
实际的生物学数据实验表明该方法性能优于单个神经网络，最近邻法和决策树。
At the same time, testing the order by K-nearest neighbor classifier which is also comes from data mining and the result proves the correctness and feasibility of this method.
同时，运用数据挖掘中的K -最临近分类方法对所得出的强弱顺序进行测试，结果表明了这种区分方法的正确性、可行性。
One method was to generate phosphene closest to the target point in regular arrays using weighted nearest neighbor search.
第一种方法基于加权近邻搜索，在不规则光幻视点阵列中找出距规则阵列中目标点最近点；
First, uses SIFT method to get the special point and its feature. Then, matches the features with the criterion of nearest neighbor based on confidence.
算法首先采用SIFT提取图象的特征点及其描述，然后采用基于置信度的匹配算法进行特征点的匹配。
First, uses SIFT method to get the special point and its feature. Then, matches the features with the criterion of nearest neighbor based on confidence.
算法首先采用SIFT提取图象的特征点及其描述，然后采用基于置信度的匹配算法进行特征点的匹配。
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