Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"hierarchical hidden Markov model"”.
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Improving the performance of hierarchical hidden Markov models on information extraction tasks
… novel methods for creating and improving hierarchical hidden Markov models. The work centers around transforming a traditional tree structured hierarchical hidden Markov model (HHMM) into an equivalent model that reuses repeated sub-trees. This process temporarily breaks the tree structure …
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Beyong lexical meaning : probabilistic models for sign language recognition
… a new approach to analyse these inflections by modelling the systematic variations as parallel information streams with independent feature sets.We learn from data, the probabilistic relationship between lexical meaning and inflections, and the information streams; and then use the trained model …
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Real-time continuous gesture recognition for natural multimodal interaction
… recognition framework based on a flattened hierarchical hidden Markov model (HHMM) that unifies the recognition of path and pose gestures; and a method of using information from the hidden states in the HMM to identify different gesture phases (the pre-stroke, the nucleus and the post-stroke …