Connectionist Temporal Classification: Labelling ...
temporal classifiers, giving directions for future work, and the paper concludes with section 7. 2. Temporal Classification Let S be a set of training examples drawn from a fixed distribution D X×Z. The input space X = (Rm)∗ is the set of all sequences of m dimensional real val-ued vectors. The target space Z = L∗ is the set
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