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cs.LG2024
Encoding Agent Trajectories as Representations with Sequence Transformers
Athanasios Tsiligkaridis, Nicholas Kalinowski, Zhongheng Li +1
Spatiotemporal data faces many analogous challenges to natural language text including the ordering of locations (words) in a sequence, long range dependencies between locations, a…
cs.CV2024
Machine Learning Models for Improved Tracking from Range-Doppler Map Images
Elizabeth Hou, Ross Greenwood, Piyush Kumar
Statistical tracking filters depend on accurate target measurements and uncertainty estimates for good tracking performance. In this work, we propose novel machine learning models…