Using Lower-Bound Representations for Trajectory Similarity Learning
This work revisits trajectory similarity learning from a lower-bound representation perspective and proposes LB-TrajRep, a unified lower-bound representation framework independent of deep neural embeddings that is able to consistently outperform state-of-the-art neural trajectory embeddings across diverse distance meas...