The State of the Art in Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical character recognition for typeset mathematics
ISSAC '94 Proceedings of the international symposium on Symbolic and algebraic computation
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Recognizing Mathematical Expressions Using Tree Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design of a mathematical expression recognition system
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Constraint Tangent Distance for On-Line Character Recognition
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Teaching with an intelligent electronic chalkboard
Proceedings of the 2004 ACM SIGMM workshop on Effective telepresence
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Mathematical symbol recognition with support vector machines
Pattern Recognition Letters
Unsupervised order-preserving regression kernel for sequence analysis
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Parametric kernels for sequence data analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A rule-based approach to form mathematical symbols in printed mathematical expressions
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
A paradigm for handwriting-based intelligent tutors
International Journal of Human-Computer Studies
A global learning approach for an online handwritten mathematical expression recognition system
Pattern Recognition Letters
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In this article, we present a system for the recognition ofon-line handwritten mathematical formulas which is usedin the electronic chalkboard (E-chalk), a multimedia systemfor distance-teaching. We discuss the classification of symbolsand the construction of the tree of spatial relationshipsamong them. The classification is based on support vectormachines and the construction of formulas is based onbaseline structure analysis.