You have learned that data mining with association rules is a useful way to identify related items in your customers' shopping carts.
您已经学习到了使用关联规则的数据挖掘是识别出在顾客购物车中的相关条目的有用的方式。
Instead of querying all data from an association when an object is loaded, queries for associations marked as lazy are deferred until that association is actually used.
如果关联被标为惰性的，那么在装载对象时并不通过关联查询所有数据，而是直到实际使用这个关联时才执行查询。
Query entities, association, and data binding with controls.
查询实体、关联和与控件的数据绑定。
If you know you always need to load data from an association, you should always use join fetching.
如果你知道自己总是需要从关联中加载数据，那么就该始终使用连接抓取。
Just in case you didn't know, OBEX is not a native protocol of Bluetooth, but was actually created by the designers of Infrared Data Association.
也许您不知道，OBEX并不是蓝牙本身的协议，实际是由无线数据协会创建的。
Parsing of input data and association to standard and fine-grained elements.
解析输入数据及与标准和细粒度元素的关联。
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。
Data association method in multi sensor multi maneuver target tracking is simultaneously argued.
同时还研究了多传感器跟踪多机动目标过程中的数据关联方法。
This paper studies the problem of data association in multisensor multitarget detection under the condition of leakage and describes it as combinatorial optimization in mathematical programming.
研究了漏检情况下多传感器多目标检测中的数据关联问题，并将其描述为数学规划中组合最优化问题。
This dissertation points out the most pivotal problems in data fusion, i. e., data association, state estimation and target recognition, which are investigated in depth.
本文指出了数据融合中最为关键的几个问题——数据关联、状态估计和目标识别并围绕它们进行了深入的研究。
Otherwise, fuzzy reasoning method is used for data association. The arithmetic is mainly used while some targets fall in one tracking door.
另外，文中还采用模糊推理方法进行数据关联，此算法主要用于多个候选目标落入同一跟踪门时的情况。
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 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。
Compared with traditional arithmetic of data association, it's operation speed is faster, and it is better fit for engineering application.
它与传统的联合数据关联和多假设法相比，运算速度快，适于工程应用。
Computer simulation results show that the ACDA could get higher correct data association rate and lower computational complexity with the high speed small target.
实验结果表明，该方法对应用在机动性较弱的高速小目标数据关联时能够获得较高的正确关联率，且运行时间较短。
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。
Considering spatial characteristic of data association, the nearest neighbor algorithm is investigated in detail.
考虑到空间数据关联的特点，作者对空间最近邻居定位算法进行了详细的研究。
A new fast algorithm is presented to solve the data association in multitarget tracking in cluttered environment.
提出了一种新的多目标跟踪快速数据关联算法。
A joint data association and bias estimation method is proposed to handle the negative effect of individual radar bias to track association and fusion in radar networks for target tracking.
针对雷达组网目标跟踪系统中，单雷达系统偏差严重影响多雷达航迹数据关联及融合跟踪质量的问题，提出了一种联合数据关联与系统偏差估计的方法。
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。
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。
Tracking initiation and data association are key techniques of multi-target passive tracking by single observer.
跟踪起始与数据关联是机动多目标单站无源跟踪的关键技术。
For the detected human heads kalman prediction and data association based on objective matching methods are used to track multiple moving objects.
对于检测到人体头部采用卡尔曼预测和基于目标匹配的数据关联方法进行多运动目标跟踪。
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。
Data alignment is a basic work to data association, target tracking and identification of data fusion system.
数据对准是数据融合系统中相关、跟踪和识别等功能的基础。
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。
In the second chapter, related technologies are presented. These are algorithms for track-filtering, filtering on condition of multisensor, data association on condition of multitarget and so on.
第二章介绍了航迹数据融合中使用的主要技术，包括：航迹滤波算法、多站条件下的滤波算法、多目标条件下的数据关联算法等。
An new approach which united per-particle maximum likelihood data association and negative information technology was adopted to handle the uncertainty of data association for FastSLAM.
采用一种基于单个粒子的最大似然数据关联和环境否定信息相结合的方法来解决未知环境中的数据关联问题。
An new approach which united per-particle maximum likelihood data association and negative information technology was adopted to handle the uncertainty of data association for FastSLAM.
采用一种基于单个粒子的最大似然数据关联和环境否定信息相结合的方法来解决未知环境中的数据关联问题。
应用推荐