CDTW cannot be computed exactly under the Euclidean 2-norm with algebraic operations alone, but exact algorithms exist for approximating norms with generalizations to arbitrary norms and partial Fréchet similarity.
Iterative self- organizing SCEne-LEvel sampling (ISOSCELES) for large-scale IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. XX, 202X building extraction,
4 Pith papers cite this work. Polarity classification is still indexing.
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Affinity-propagation clustering of Arctic VHSR imagery enables MAE pretraining of a ViT-Large encoder that outperforms ImageNet and Prithvi-EO-2.0 baselines by 5-15 percentage points in mean F1 on four downstream Arctic detection and segmentation tasks.
Synthetic historical maps are generated from modern vector data via style transfer and uncertainty emulation to train segmentation models for historical map corpora.
FPRO applies Frenet-frame RL with curvature-torsion manufacturability constraints and PPO optimization to produce collision-free, fabricable pipe paths for aeroengines, outperforming Cartesian and baseline RL methods in experiments and real fabrication.
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Fundamentals of Computing Continuous Dynamic Time Warping in 2D under Different Norms
CDTW cannot be computed exactly under the Euclidean 2-norm with algebraic operations alone, but exact algorithms exist for approximating norms with generalizations to arbitrary norms and partial Fréchet similarity.
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Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation
Synthetic historical maps are generated from modern vector data via style transfer and uncertainty emulation to train segmentation models for historical map corpora.