查询词典 Euclidean algorithm

The algorithm transform the line parallelism and plane orthogonality into some new constraints on auto-calibration equations, which makes the affine and Euclidean characteristics of the absolute quadric close to the practical one.

该算法将景物中出现的直线的平行性和平面的正交性转换为新的求解相机自定标方程的约束条件。

Based on the decided configurations, the continuity condition of combined Bezier curve in Euclidean space and De Casteljau algorithm on Lie group SO(3) are integrated to construct a combined Bezier positioning path of C^2 continuity at junctional configuration, and an illustration of different positioning path planning is analyzed in detail based on a liver tumor case.

根据确定的位姿，把组合Bezier曲线的连续条件和SO(3)的De Casteljau算法结合，构造出了一条在衔接位姿C^2连续的组合Bezier曲线路径用於定位，并且根据一例肝脏肿瘤病例对各种连续路径作了详细分析。

It is based on the method of modeling mobile voice channel and system identification is made so that the waveform samples are designed in frequency domain with less signal distortion.Then the waveform codebook is gotten by a genetic algorithm which has the maximum Euclidean distance.Thus,the modulation and demodulation are equivalent to the mapping from index to waveforms and from waveforms to index.

提出了对移动话音业务信道建模的思想，通过系统辨识获得模型的频率响应特性，在波形畸变较小的频带范围设计波形频谱，采用遗传算法在时域样本空间全局寻优获得欧几里德距离最大的波形码本，通过码本索引值和波形矢量的映射和解映射来实现数据的调制和解调。

In this paper,a novel kernel based SOM algorithm is proposed.we replace the Euclidean norm in the SOM training procedure with kernels,which is equivalent to change the metric of distance in input space.

引言 Kohonen提出的自组织特征映射理论(Self OrganizingMaps，SOM) [1 ] 具有聚类、自组织、自学习以及可视化的功能，已广泛的应用于模式识别、数据挖掘、故障诊断等邻域。

Clustering algorithm common Euclidean distance, this article describes the use of weighted method.

聚类算法中常用欧氏距离，这篇文章描述了使用加权的方法。

The similarity measure used in the conventional K-means algorithm is Euclidean distance.

在一般的K-means演算法中各个资料与群组中心的距离测量方式是使用欧几里德距离作为基准。

Some methods are discussed to speed up the K-MEANS clustering algorithm with Euclidean and Mahalanobis distance norm.

同时，归纳并整理了一整套基于欧氏距离和马氏距离的K均值快速算法，为了解决传统基于距离函数算法的样本顺序相关问题，提出了针对两类问题的顺序无关聚类算法。

For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.

针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。

Thirdly, case retrieval is a focus of CBR system, the similarity results calculated by the Euclidean Distance retrieval algorithm, which is widely used in the CBR system, often deviates from the fact in engineering.

此外，案例检索是基于案例推理系统的中心环节，目前应用最多的欧氏距离检索算法在实际应用中经常出现计算的相似度结果偏离工程实际的情况。

Maximum likelihood detector is the optimal detector and has the best performance. The challenge of MLD is the high computational complexity. K-Best decoding algorithm has been proposed to reduce the computational complexity. K-Best decoder algorithm computes Partial Euclidean Distance and only keeps the best K nodes that have the smallest accumulated PEDs. After completing breadth-first tree search, we will have K leaves with the smallest PEDs.

最大相似度侦测法是公认最佳化的演算法，有著最好的侦测效能，但运算复杂度将会随著调变群集和传送天线数目大小而呈指数型增加。K-Best球型解码演算法因而被提出来，得到近似最大相似度侦测法的结果，解决最大相似度侦测法运算复杂度过高的问题。K-Best球型解码演算法在计算完部份欧几里德距离后，需要取最小K个值做为候选点，再往下层去找候选点。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。