Feedback Max-Margin Early Event Detector

Zhi-Fang Yang, Chin-Ting Hung
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Abstract

The max-margin early event detector (MMED) method is the first work to solve early event detection based on the structured support vector machine(SOSVM). In this study, a feedback MMED method (FMMED) is proposed to reduce the number of constraints by introducing a feedback mechanism. The convergence of the iterative MMED method is verified to ensure the cutting plane algorithm correctly applied to the proposed FMMED method. The proposed feedback mechanism is used to find the early events related to un-tight constraints in the previous iteration, and to remove the constraints containing these early events in the current iteration. Three datasets are utilized to verify the feasibility of the proposed FMMED method.
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反馈最大边际早期事件检测器
最大边际早期事件检测器(MMED)方法是第一个解决基于结构化支持向量机(SOSVM)的早期事件检测问题的方法。本文提出了一种反馈MMED方法(FMMED),通过引入反馈机制来减少约束的数量。验证了迭代MMED方法的收敛性,确保了切割平面算法正确应用于所提出的FMMED方法。所提出的反馈机制用于发现先前迭代中与不严格约束相关的早期事件,并在当前迭代中删除包含这些早期事件的约束。利用三个数据集验证了所提出的FMMED方法的可行性。
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