This paper brings out a new Joint Probability Data Association Algorithm.
提出了一种新的联合概率数据互联的算法。
The other estimates target state without explicit use of a data association algorithm.
另一类在估计目标状态时并没有利用数据融合。
A track-association algorithm based on the limited frames Least Squares method is put forward.
针对星空图像中运动点目标轨迹难于提取的问题，提出了有限帧最小二乘轨迹关联算法。
Multiple Target Tracking system concludes data association algorithm and data filtering algorithm.
多目标跟踪系统包含了数据互连算法和数据滤波算法。
This thesis gives a target association algorithm based on the attribute and feature of the target.
然后重点从三个角度探讨了适合于航天遥感信息的时敏目标关联算法的实现。
But the conventional association algorithm has either heavy computing burden or the result is not ideal.
而常见的关联算法要么计算量大，要么实际运用中效果不理想。
For the data association problem in the passive sensor system, a new fuzzy-probability weighting data association algorithm was proposed.
针对被动传感器系统中的数据关联问题，提出了一种新的被动传感器系统模糊-概率双加权数据关联算法。
To deal with the uncertainty of multi-sensor observations, a new data association algorithm based on intuitionistic fuzzy clustering was proposed.
针对多传感器观测数据存在不确定性的问题，基于直觉模糊聚类，提出一种新的数据关联算法。
The common data association algorithms include nearest neighbor algorithm, probabilistic data association and joint probabilistic data association.
常用的数据互联方式包括最远邻数据联解闭解、概率数据互联和解开概率数据互联。
A time and space joint probabilistic data association algorithm is developed to solve the difficult problem of passive multisensor-multitarget tracking.
还提出了一种适合于实际工程应用的时空联合数据概率关摘要联算法，该算法解决了无源多传感器多目标跟踪的难题。
The probabilistic data association algorithm is applied in the spatial domain multi resolution frame and target tracking is implemented at the coarse resolution level.
这个算法在空间多分辨率框架下应用概率数据互联算法，在粗分辨率上实现模糊目标跟踪。
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。
With the help of computer simulations, the tracking initiation algorithm is proven to be correct and effective, and the data association algorithm is proven to be superior to the NN method.
借助计算机模拟，跟踪起始算法被证明是正确的，有效的，数据关联算法被证明是优于神经网络方法。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
基于数据变换法，提出使用高效数据结构即倒排文件的隐私保护关联规则挖掘算法ifb - PPARM。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
This paper firstly presents a power set-based association rules mining algorithm which USES pow er set as an association rules mining tool.
首次提出了利用幂集作为挖掘关联规则的工具，给出了基于幂集的关联规则挖掘算法。
Adopting algorithm of random event 'conditional probability and introducing condition association coefficient of failure mode can reflect failure dependence of structure.
采用随机事件的条件概率的运算法则，引入失效模式间的条件关联系数来反映结构之间的失效相关性。
The typical Mining Association Rules algorithm is by R.
典型的关联规则发现算法是由R。
Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.
通过采用二进制串表示所定义的信息粒，提出了基于粒计算的关联规则挖掘算法。
This paper proposes a Chinese conception sets-generating algorithm based on association rule.
本文提出了一种基于关联规则的中文概念集生成算法。
Aim To put forward association rule mining algorithm based on relation algebra theory.
目的提出基于关系代数理论的关联规则挖掘算法。
Chapter four studied the Association Rules algorithm according to the level, has pressed the further expansion of the systematic structure.
第四章研究了关联规则算法按层次，按系统结构的进一步拓展。
Based on the mined association rules, this algorithm optimizes the storage structure of association rules, a nd extends SQL-like query statement.
在算法实现的过程中对关联规则集存储结构进行了优化，并扩展了类sQL查询语句。
The approach of using association rule algorithm to determine the optimization value is presented in this paper.
论文提出了基于关联规则算法的目标值确定的设计思路。
This paper presents a multi-level association rules mining algorithm DMARM which can be used in distributed environments. It can apply different thresholds at different levels.
提出了在分布式环境下对于每一层使用不同支持度的多层关联规则挖掘问题及其算法DMARM。
A method of track association based on ISODATA algorithm for clustering analysis is put forward according to the features of multi sensor multi target track association.
针对多传感器多目标航迹关联的特点，提出了将基于聚类分析的ISODATA算法应用于航迹关联的解决方法。
A method of track association based on ISODATA algorithm for clustering analysis is put forward according to the features of multi sensor multi target track association.
针对多传感器多目标航迹关联的特点，提出了将基于聚类分析的ISODATA算法应用于航迹关联的解决方法。
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