Mode Detection in Online Handwritten Documents Using BLSTM Neural Networks

By Emanuel Indermühle, Volkmar Frinken, Horst Bunke. 2012

43 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

Citations in the corpus

• Understanding LSTM - a tutorial into Long Short-Term Memory Recurrent Neural Networks (2019, unknown): “In 2012 BSLTM was applied to keyword spotting and mode detection distinguishing different types of content in handwritten documents, such as text, formulas, diagrams and figures, outperforming HMMs and SVMs [44, 45, 59].”