Balanced equal-norm prototype codes enable theoretical guarantees for simplex-ratio OSR in all embedding dimensions, with a dichotomy at d >= C-1 and exponential decay of false acceptance.
org/abs/2312.15571
3 Pith papers cite this work. Polarity classification is still indexing.
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CircleID introduces a controlled dataset of 46,155 circles from 66 writers and 8 pens, with competition results showing top accuracies of 64.8% for open-set writer identification and 92.7% for pen classification.
Extra Trees outperforms neural open-set methods for unknown-subject rejection in hand landmark identification under LOSO evaluation on the ML2HP dataset using enriched geometric features.
citing papers explorer
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Beyond the Simplex: Balanced Prototype Geometry for Scorer-Agnostic Open-Set Recognition
Balanced equal-norm prototype codes enable theoretical guarantees for simplex-ratio OSR in all embedding dimensions, with a dichotomy at d >= C-1 and exponential decay of false acceptance.
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ICDAR 2026 Competition on Writer Identification and Pen Classification from Hand-Drawn Circles
CircleID introduces a controlled dataset of 46,155 circles from 66 writers and 8 pens, with competition results showing top accuracies of 64.8% for open-set writer identification and 92.7% for pen classification.
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Subject-Level Unknown-Identity Identification from Leap Motion Controller 2 Hand Landmarks
Extra Trees outperforms neural open-set methods for unknown-subject rejection in hand landmark identification under LOSO evaluation on the ML2HP dataset using enriched geometric features.