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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for “VDTW”

Multi-Year Vector Dynamic Time Warping Based Crop Mappingcs.LG

VDTW improves cross-year crop mapping accuracy.

problem Cross-year crop mapping accuracy is poor with existing methods.

method Vector Dynamic Time Warping (VDTW) for multi-year classification.

result VDTW achieves 99.85% and 99.74% overall accuracies for same and cross years, respectively.

crop mapping multi-year VDTW dynamic time warping angular distances

2019-09-11abs ↗pdf ↗