Abstract: In real-world applications, GPS trajectories often suffer from low sampling rates, with large and irregular intervals between consecutive GPS points. This sparse characteristic presents ...
Abstract: This article presents a method for learning well-coordinated human–robot interaction (HRI) from human–human interactions (HHI). We devise a hybrid approach using hidden Markov models (HMMs) ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
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