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nearest neighbor search中文是什么意思

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  • An additional factor which plays apart in estimation of the values at the grid nodes is weighting to be placed on the different data values located by the nearest neighbor search .
    在估计网络结点值时,部分起用以另一个因素及对最邻近点搜寻中找出的不同数据值所给的权。
  • Constrained nearest neighbor search on moving objects trajectories
    即约束的移动对象最近邻轨迹
  • Nearest neighbor search for constrained moving objects trajectories
    约束的移动对象最近邻轨迹查询
  • An optimal projection and dynamic threshold based nearest neighbor search algorithm
    基于遗传算法的模糊多阈值图像分割方法
  • Nearest neighbor search
    最近点对查询
  • K nearest neighbor search is one of the most important operations in spatial and spatio - temporal databases
    在诸如此类的应用中,一个重要的查询类型就是k最近邻居knn查找。
  • The new improved nearest neighbor search algorithm presented based on key dimension , which could be used to improve the performance of compute efficiency
    为降低计算时间,提出一种基于关键维的近邻搜索算法。
  • 1998 , 27 : 16 - 21 . 7 frentzos e , gratsias k , pelekis n , theodoridis y . nearest neighbor search on moving object trajectories . in proc
    他们在由tb树索引的数据集上利用一个深度优先df搜索范例来处理移动对象轨迹的knn查找。
  • Firstly , based on conventional vq , a fast algorithm named equal - sum block - extending nearest neighbor search ( ebnns ) is presented , which not only can achieve the reconstructed image of full search algorithm but also can greatly reduce both the codeword search ratio and chip area . in order to improve coding efficiency , a new algorithm called correlation - inheritance coding is proposed , which is embedded in conventional vq system to improve compression ratio by re - encoding the indexes
    首先,在普通矢量量化基础上提出了等和值块扩展最近邻快速码字搜索算法( ebnns ) ,该算法在图像画质达到穷尽搜索算法的前提下,大大降低了码字搜索率和硬件实现面积;为了提高编码效率,在相关性编码方面,提出了相关继承编码算法,对普通矢量量化后的编码索引进行无损重编码。
  • To accelerate the learning process of self - organizing mapping in the situation of large mount of data or high dimension , two learning algorithms were proposed in this paper , by using partial distortion search and extended partial distortion search respectively to solve the problem of nearest neighbor search during learning process , which could reduce the multiplications greatly
    摘要针对传统的自组织映射网络在大数据量或高维情形下训练过程较慢的问题,提出了分别使用部分失真搜索和扩展的部分失真搜索来完成传统算法中最耗时的最近邻搜索过程,减少了完成训练所需乘法次数。
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