In this paper, we propose a novel model called Recurrent Explicit Duration Switching Linear Dynamical Systems (REDSLDS) that incorporates recurrent explicit duration variables into the rSLDS model. We also propose an inference and learning scheme that involves the use of P\'olya-gamma augmentation. We demonstrate the improved segmentation capabilities of our model on three benchmark datasets, including two quantitative datasets and one qualitative dataset.

翻译：本文提出了一种名为循环显式时长切换线性动态系统（REDSLDS）的新模型，该模型将循环显式时长变量整合到rSLDS模型中。我们还提出了一种涉及使用P\'olya-gamma增广的推理与学习方案。我们在三个基准数据集上展示了我们模型改进的分割能力，包括两个定量数据集和一个定性数据集。