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Hidden Markov model (HMM) is a highly effective mean of modeling a common motif within a set of unaligned sequences, which has been proved to be a prior tool in similarity search analysis based on time-series data [3]. However, its major drawback is that its training process is computationally expensive, which makes it hard to be efficient and precise simultaneously. In this paper, an efficient HMM-based...
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