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- W3003344382 abstract "Multi-Dimensional Connectionist Classification is a method for weakly supervised training of Deep Neural Networks for segmentation-free multi-line offline handwriting recognition. MDCC applies Conditional Random Fields as an alignment function for this task. We discuss the structure and patterns of handwritten text that can be used for building a CRF. Since CRFs are cyclic graphical models, we have to resort to approximate inference when calculating the alignment of multi-line text during training, here in the form of Loopy Belief Propagation. This work concludes with experimental results for transcribing small multiline samples from the IAM Offline Handwriting DB which show that MDCC is a competitive methodology." @default.
- W3003344382 created "2020-02-07" @default.
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- W3003344382 date "2019-09-01" @default.
- W3003344382 modified "2023-10-03" @default.
- W3003344382 title "Dissecting Multi-line Handwriting for Multi-dimensional Connectionist Classification" @default.
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- W3003344382 doi "https://doi.org/10.1109/icdar.2019.00015" @default.
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