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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.

168,878 papers · 148 categories

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0111 · Jul 201919922001200920172026
2 results for “FLDCRF”
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modelingcs.LG

FLDCRF improves sequence labeling performance with latent dynamics interactions.

problem Sequence labeling with improved performance and latent dynamics interactions.
method Factored Latent-Dynamic Conditional Random Fields (FLDCRF) with multiple latent dynamics interactions.
result FLDCRF outperforms state-of-the-art models across multiple datasets.
Conditional Random FieldsLatent DynamicsSequence ModelingLabeling PerformanceMulti-label
2019-11-09abs ↗pdf ↗
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fieldscs.CV

Improved pedestrian crossing prediction for AVs using contextual factors.

problem Accurate prediction of pedestrian crossing behavior for autonomous vehicles.
method Factored Latent-Dynamic Conditional Random Fields (FLDCRF) for multi-label sequence prediction and joint interaction modeling.
result Achieved at least 0.9 seconds earlier prediction accuracy for pedestrian crossing behavior compared to existing methods.
pedestrian predictionautonomous vehiclescontextual factorsFLDCRFconditional random fields
2019-07-27abs ↗pdf ↗