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An HMM structure for one class consists of Q states emitting multi-dimensional observations ot at each time step. The state as well as the output sequence is governed by a set of probabilities including transition probabilities aij. To assign a sequence Ot to a particular model, the classifier decides for the highest probability P(Ot|model).
