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- W2059175078 abstract "Recognition of mathematical symbols is a challenging task, with a large set with many similar symbols. We present a support vector machine based hybrid recognition system that uses both online and offline information for classification. Probabilistic outputs from the two support vector machine based multi-class classifiers running in parallel are combined by taking a weighted sum. Results from the experiments show that giving slightly higher weight to the on-line information produces better results. The overall error rate of the hybrid system is lower than that of both the online and offline recognition systems when used in isolation." @default.
- W2059175078 created "2016-06-24" @default.
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- W2059175078 date "2007-09-01" @default.
- W2059175078 modified "2023-10-16" @default.
- W2059175078 title "Hybrid Mathematical Symbol Recognition Using Support Vector Machines" @default.
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- W2059175078 doi "https://doi.org/10.1109/icdar.2007.4377037" @default.
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