JPDA implements the ability to substitute modified code in a running application.
JPDA实现了在运行的应用程序中替换经过修改的代码的功能。
Therefore, any third-party tools and VM based on JPDA should work together without complaint.
因此，任何第三方工具和基于JPDA的VM应该都能协调工作。
Joint Probabilistic Data Association (JPDA) algorithm can resolve the problem of tracking targets in clutter.
概率数据互联(JPDA)算法能很好地解决密集环境下的多目标跟踪问题。
Dynamic methods employ the rule of movement of real target to erase ghosts. An applying of joint probability data association (JPDA) is presented.
动态方法利用真实目标的运动规律去除虚假目标，本文介绍了联合概率数据关联(JPDA)在此的应用。
The properties of the joint probabilistic data association(JPDA)are analyzed, and data association is reduced to a sort of constraint combinatorial optimization problem.
通过对多目标联合概率数据关联方法性能特征的分析，将其归结为一类约束组合优化问题。
The Joint Probabilistic data association algorithm (JPDA) is the accepted effective data association algorithm, but it has high computational load, and it's not a Real-time algorithm.
联合概率数据关联算法是公认的多目标跟踪中有效的数据关联算法，但它的计算量过大，实时性不好。
The Joint Probabilistic data association algorithm (JPDA) is the accepted effective data association algorithm, but it has high computational load, and it's not a Real-time algorithm.
联合概率数据关联算法是公认的多目标跟踪中有效的数据关联算法，但它的计算量过大，实时性不好。
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