该算法对于提高高速公路事件检测算法的性能指标具有参考意义。
The algorithms above are meaningful to improve the performance of freeway incidents detection.
给出基于SVM的事件检测算法的工作步骤，设计算法的输入向量。
And this paper provides the incident detection algorithm based on SVM's main workflow, as well as chooses input vectors.
随后在此公式基础上提出基于路段密度差模型的快速路异常事件检测算法，设计了异常事件判断的逻辑流程。
Then the incident detection algorithm of urban expressway based on the proposed segment density difference model is proposed, and the logic determining incidents procedure is also provided.
回顾几种传统的交通事件检测算法，提出从多层前向人工神经网络角度建立模型，并运用BP算法予以实现。
Several traditional algorithms used in traffic incident detection are reviewed. A detection model based on artificial neural network is proposed and implemented with BP algorithm.
本文提出的检测算法不仅能够判断交通事件是否发生，而且能够判断事件性质，是一种多输入、多输出的检测算法。
The algorithm can not only deduce whether the incident happened, but also the state of the traffic flow. It is a multi-inputs and multi-outputs algorithm.
在分析现有检测方法的基础上，提出基于手机定位的高速公路事件检测方法并给出一种检测算法。
Based on the analysis of expressway automatic incident detection methods, an expressway incident detection method using mobile phone positioning is presented.
通过分析大量的英文报道的特点，针对目前话题检测研究中存在的难以区分两次不同的火车事故或爆炸事件的问题提出了基于内容分析的话题检测算法。
Topic link detection is a foundational research in the field of topic detection and tracking, which detects whether two random stories talk about the same topic.
通过分析大量的英文报道的特点，针对目前话题检测研究中存在的难以区分两次不同的火车事故或爆炸事件的问题提出了基于内容分析的话题检测算法。
Topic link detection is a foundational research in the field of topic detection and tracking, which detects whether two random stories talk about the same topic.
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