1) nearest neighbor standard filter
最近邻域数据关联
2) all-neighbors data association
全邻域数据关联
3) Nearest Near Joint Probabilistic Data Association
最邻近联合概率数据关联
1.
The Nearest Near Joint Probabilistic Data Association(NNJPDA) is not used directly in multi-sensor multi-target tracking.
传统的最邻近联合概率数据关联算法(NNJPDA)不能直接用于多传感器对多目标的跟踪。
4) multiple scan nearest-neighbor(MSNN)
多帧最近邻数据关联算法
1.
In order to improve the data association performance of nearest-neighbor standard filter(NNSF), a multiple scan nearest-neighbor(MSNN) data association algorithm based on multirate kinematic model was presented.
为了提高标准最近邻数据关联算法的关联效果,提出了基于多速率运动模型的多帧最近邻数据关联算法。
5) Nearest Neighbor Association Algorithm
最近邻关联算法
6) nearest neighbor data description
最近邻数据描述
1.
In order to solve the problem of insufficient fault samples in intelligent mechanical diagnosis,a new method of one-class classification-nearest neighbor data description method is proposed.
针对机械智能诊断中缺少故障样本的问题,提出了单分类方法-最近邻数据描述法。
补充资料：最近
1.指说话前或后不久的日子。 2.极为接近。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条