Connectionist Temporal Classification is a term coined in a paper by Graves et al. titled Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks.

It refers to the use of recurrent neural networks (which is a form of connectionism) for the purpose of labeling unsegmented data sequences (AKA temporal classification).