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Found 3 papers, 1 papers with code
An unsupervised approach for semantic place annotation of trajectories based on the prior probability
The Bayesian Criterion is specifically employed to decompose the spatiotemporal probability of the candidate place into spatial probability, duration probability, and visiting time probability.
The Linearized Hellinger--Kantorovich Distance
Working with the local linearization and the corresponding embeddings allows for the advantages of the Euclidean setting, such as faster computations and a plethora of data analysis tools, whilst still enjoying approximately the descriptive power of the Hellinger--Kantorovich metric.
Optimization and Control
Linearized Optimal Transport for Collider Events
We introduce an efficient framework for computing the distance between collider events using the tools of Linearized Optimal Transport (LOT).
