Frank-Wolfe iterates for monotone variational inequalities converge asymptotically to the solution set under vanishing nonsummable step sizes, with the gap vanishing and unique convergence in the strongly monotone case.
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The Isbell nucleus of a matrix induces an isometry between its tropical row and column spans under the Hilbert projective metric, with gap matrices equating algebraic slack to geometric distance to cell walls.
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RadarMOT improves 3D multi-object tracking accuracy by using radar point clouds as direct observations to refine states and recover missed objects, achieving 12.7% higher AMOTA at long range and up to 10.3% in adverse weather on the MAN-TruckScenes dataset.
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Approximates expected cost savings from a one-off temporary control option with two rates in the M/M/1 queue via value iteration and derives structural results on optimal policies and Blackwell optimality.
Introduces FARO, a scalable quadratic optimization approach for fairness-aware top-k retrieval in RAG that mitigates generation bias via controlled reranking and position-aware propagation modeling.
Multi-stage training that first mixes real and inpainted synthetic hand images then fine-tunes on real data improves mAP on glove-wearing test images over real-only baselines.
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Radar-Informed 3D Multi-Object Tracking under Adverse Conditions
RadarMOT improves 3D multi-object tracking accuracy by using radar point clouds as direct observations to refine states and recover missed objects, achieving 12.7% higher AMOTA at long range and up to 10.3% in adverse weather on the MAN-TruckScenes dataset.