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Showing 1 to 4 of 4 for “"pHMM"”.
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Adaptive models for the recognition of human gesture
… First, the parametric hidden Markov model (PHMM) addresses the representation and recognition of gesture families, to extract how a gesture is executed. Second, strong temporal models drawn from natural gesture theory are exploited to segment two kinds of natural gestures from video …
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Soft matching for question answering
… model and the Profile Hidden Markov Model (PHMM), respectively. The soft pattern models generalize pattern matching as the process of producing token sequences. I experimentally show that employing soft pattern models greatly outperforms the system that utilizes hard matching of pattern …
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From single genomes to natural microbial communities : novel methods for the high-throughput analysis of genomic sequences
… domains using profile hidden Markov models (pHMMs) with a sequence composition-based classification using a Support Vector Machine. This combined strategy is able to unveil almost the complete gene content of prokaryotic genomes in a fully automated manner. GISMO has already been extensively …
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Mining Diverse and Novel RNA Viruses in Transcriptomic Datasets
… curated profile Hidden Markov Models (pHMMs) for viral RNA dependent RNA polymerase, which was the main protein of interest of this project. The pHMMs represented various viral families as well as genera. The analysis resulted …