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Event occurrence time learning device, event occurrence time estimation device, event occurrence time estimation method, event occurrence time learning program, and event occurrence time estimation program

机译:事件发生时间学习装置,事件发生时间估计装置,事件发生时间估计方法,事件发生时间学习程序和事件发生时间估计程序

摘要

PROBLEM TO BE SOLVED: To estimate an event occurrence from time series information which is high-dimensional information such as an image. A hazard estimation unit 11 includes a time-series image group in which an event occurrence time is given in advance, a time-series image group in which an event does not occur, and a time-series image group in which an event occurs. The likelihood of event occurrence for each of the plurality of time series image groups is estimated according to a hazard function, and the parameter estimation unit 12 determines the occurrence time of the event given for each of the plurality of time series image groups and a plurality of time series image groups. The parameters of the hazard function are estimated so as to optimize the likelihood function represented by including the estimated event likelihood for each of the time series images. [Selection diagram] Fig. 1
机译:解决的问题:从时间序列信息(例如图像等高维信息)中估计事件的发生。危险估计单元11包括预先给出事件发生时间的时间序列图像组,未发生事件的时间序列图像组和事件发生的时间序列图像组。根据危险函数来估计多个时间序列图像组中的每一个的事件发生的可能性,并且参数估计单元12确定针对多个时间序列图像组中的每一个和多个时间序列图像组给出的事件的发生时间。时间序列图像组。估计危害函数的参数,以优化似然函数,该似然函数通过包括每个时间序列图像的估计事件似然来表示。 [选择图]图1

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