Character Recognition Theory, Script Analysis, Pattern Matching, Historical Texts

Double Maths First Thing: Issue 39
aperiodical.com·13h
⚙️Proof Engineering
Paysage mathématique / Mathematical landscape
freakonometrics.hypotheses.org·3d
📐Mathematical Art
Studying Clever Creases in Nature May Inspire Foldable Structures for Drones and Robots
smithsonianmag.com·4h
📐Mathematical Art
Show HN: CodexLocal – Offline, Privacy-First AI Coding Tutor (WebLLM and RAG)
codexlocal.com·1d·
🌀Brotli Dictionary
Spatial Sense: Extracting the 'Where' and 'How' from Vision-Language Models by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🌀Hyperbolic Geometry
DHQA-4D: Perceptual Quality Assessment of Dynamic 4D Digital Human
arxiv.org·1d
📊Rate-Distortion Theory
ArchitectHead: Continuous Level of Detail Control for 3D Gaussian Head Avatars
arxiv.org·17h
📐Projective Geometry
Bound-Preserving WENO Schemes for Temple-class systems
arxiv.org·1d
🎯Performance Proofs
Machine learning for fraud detection in digital banking: a systematic literature review REVIEW
arxiv.org·17h
🧠Machine Learning
Evaluating the Sensitivity of LLMs to Harmful Contents in Long Input
arxiv.org·17h
📝ABNF Extensions
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
arxiv.org·1d
🧠Machine Learning
NEO: No-Optimization Test-Time Adaptation through Latent Re-Centering
arxiv.org·17h
📊Learned Metrics
Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging
arxiv.org·17h
📄Document Streaming
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·1d
🗜️LZW Variants
Automated Pattern & Style Replication in Simulated Warhol Screenprints via Adaptive Fractal Synthesis
dev.to·1d·
Discuss: DEV
🌈Color Archaeology
Approximate Gaussianity Beyond Initialisation in Neural Networks
arxiv.org·17h
🕸️Tensor Networks
Hyper-Accurate Time Series: Bridging the Prediction Gap with Glocal Learning by Arvind Sundararajan
dev.to·23h·
Discuss: DEV
📈Time Series
Automated Graft Copolymer Property Prediction via Multi-Modal Data Fusion & Reinforcement Learning
dev.to·16h·
Discuss: DEV
🧠Machine Learning