A Deep HMM model for multiple keywords spotting in handwritten documents

Conservative Training, on the contrary, takes explicitly all the output units into account, by providing target values that are estimated by the original ANN model using samples

Fei-Fei, “End-to-end learning of action detection from frame glimpses in videos,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016..

The line model can also only contain meta models dedicated to spotting sequences of digits of any length, for example (#[0-9]*#) or word beginning by one upper case character and

In general, these models use the ANN discriminative stage to analyse and classify local observations at frame level, whereas the HMM generative stage is devoted to the integration

To prepare the feature vector from a numeral image to be fed to an MLP classifier, we have considered the frequency distributions of the number of horizontal and vertical

To show the impact of the additional off-line features all tests have been accomplished on both the full feature vector (Eq. 10) and a reduced feature vector consisting only of

In general, these models use the ANN discriminative stage to analyse and classify local observations at frame level, whereas the HMM generative stage is devoted to the integration

The line model can also only contain meta models dedicated to spotting sequences of digits of any length, for example (#[0-9]*#) or word beginning by one upper case character and