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SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity

Summary: SIMformer uses a single-layer vanilla transformer to encode trajectories and tailored similarity functions (not Euclidean) to approximate DTW/Hausdorff/Fréchet, mitigating the curse of dimensionality. No triplet/additional signals; faster, more accurate, and scalable. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14010
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,709 | 25.50%
DOI
10.14778/3705829.3705853

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