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1,460 claims from 908 papers are on the record. 46 have been checked so far; the other 1,414 have no check with a result yet.

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1 claim from 1 paper

1. Computer Science › Handwritten Text Recognition Techniques

   Gradient-based learning applied to document recognition

   LeCun, Bottou, Bengio and Haffner · Proceedings of the IEEE · 1998

   The paper reviews gradient-based methods for handwritten character recognition, shows convolutional networks doing best on digit recognition, and introduces graph transformer networks, used in a deployed cheque-reading system.

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   1. UncheckedGraph transformer networks are a new learning approach that lets multi-module document recognition systems be trained together to improve one overall performance measure.“A new learning paradigm, called graph transformer networks (GTN), allows such multimodule systems to be trained globally using gradient-based methods so as to minimize an overall performance measure.”