On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Development of a Sigma-Lognormal representation for on-line signatures
Pattern Recognition
Complexity: A Guided Tour
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Automatic Signature Verification: The State of the Art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
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This keynote paper is divided into two parts. On the one hand, it explores how the modeling of pen strokes can be exploited to design biomedical tools allowing the analysis of neuromuscular systems with the objective of developing a diagnostic protocol useful in assessing brain stroke risk factors. On the other hand, it explains how the methodology followed to model a neuromuscular system producing handwriting strokes can be generalized, by means of various strides, to model the Solar System, the Milky Way and the whole Universe. The conducting thread that links up such apparently unrelated pattern recognition problems is the Central Limit Theorem.