The Long Short-Term Memory (LSTM) neural network based data association algorithm
named as DeepDA for multi-target tracking in clutter is proposed to deal with the NP-hard …

Acoustic source localization is a key component of the various acoustic monitoring systems.
In this paper, we address the data association problem occurring in the localization of …

传统的多目标跟踪数据关联算法需要提前知晓目标运动模型和杂波密度等先验信息,
然而这些先验信息在跟踪之前无法及时准确地获取. 针对这个问题, 提出一种基于Transformer …

Conventional multitarget-tracking data association algorithms must have prior information,
such as the target motion model and clutter density. However, such prior information cannot …

We solve large-scale mixed-integer linear programs (MILPs) via distributed asynchronous
saddle point computation. This is motivated by the MILPs being able to model problems in …

Space-time adaptive processing (STAP) combines the returned signals from all elements of
an antenna array and all coherent pulse trains during a CPI period to provide clutter …