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This paper presents novel methodologies for face recognition: template-matching using Dynamic Time Warping (DTW) and Long-Short-Term-Memory (LSTM) neural network supervised classification. The advantage of the DTW algorithm is that it requires only one prototype (sample) for each class, that is, a single representative template is enough for classification(More)
Many researchers have used neural networks on music composition. The architecture of the network and the representation of the training data have influence on the results. We propose to compare BPTT and LSTM networks in musical composition task with two different pitch representations. We present the learning algorithms of both networks and the results(More)
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