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。
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。
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。
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。
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。
The performance of probability data association (PDA) can be improved by this algorithm.
该算法提高了概率数据关联(PDA)算法的性能。
The key idea of mining association rules for the basket data is studied and several methods to improve algorithm efficiency and rules selection are given.
对零售业销售数据关联规则挖掘算法的关键思想进行了研究，给出了各种提高算法效率的方法以及对规则选择的方法。
Mining association rules with ontological information bases on built domain ontology, using an algorithm of data mining, to produce semantic association rules which are more greatly satisfying users.
基于本体的关联规则挖掘，是利用构建好的领域本体，结合数据挖掘算法，产生出具有语义的更符合用户需求的关联规则。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
This paper introduces partition method in data cube with different confidence, expatiates on multidimensional association rule data mining algorithm based on data cube partition.
介绍了在数据立方体上对于不同可信度的数据进行分块的方法，阐述了基于数据立方体分块的多维关联规则挖掘的算法。
Afterwards a fast algorithm for track initiation and data association in multiple target tracking is obtained.
给出了多目标跟踪起始和数据关联的快速算法。
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。
Study the theories and algorithm of multi-dimensional of temporal association rules and the experimental results on the stock data are shown.
研究了多维时态关联规则挖掘的理论、算法，并进行了数值实验。
Then, it implements the data association and continuous tracking on the target candidates by using the particle filter and the FCM algorithm.
然后利用基于粒子滤波和FCM的算法实现对候选目标的数据关联和连续跟踪。
Provides a practical updating algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.
提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则更新算法。
This paper provides a practical maintenance algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.
提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则维护算法。
To solve the problem of false association in the presence of multiple targets, historical track data are utilized, and a limited memory association model with ISODATA algorithm is built.
构建了基于ISODATA算法的有限记忆关联模型，利用有限步的历史航迹状态数据，有效地解决了目标密集环境下的误关联问题。
This paper discusses how to make use of association rules in IDS audit data analysis. With an improved OPUS algorithm, some tests are done.
讨论了用数据挖掘中的关联规则对IDS审计数据进行分析，给出了一种改进的OPUS算法，并对实验结果进行分析。
The way of generating frequent candidate a nd pruning technology are difficult technical problem when prenest traditional association rules mining algorithm is used to spatial data mining.
现有的传统关联规则挖掘算法构建频繁候选项的方式和修剪技术是其应用于空间数据挖掘的技术难题。
The similarity measurement algorithm is a data association method for assigning the local tracks based on the pattern similarity, which has a fine association effect.
相似性测度算法是根据航迹模式完成各局部航迹分配的关联方法，关联效果较好。
We bring out our video retrieval method based on multi-feature data association histogram and C-Mean fuzzy clustering algorithm.
基于多特征联合分布直方图理论和模糊c -均值聚类算法，我们提出了新的视频流模糊检索方法。
We bring out our video retrieval method based on multi-feature data association histogram and C-Mean fuzzy clustering algorithm.
基于多特征联合分布直方图理论和模糊c -均值聚类算法，我们提出了新的视频流模糊检索方法。
应用推荐