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Chapter
A Novel Continuous Hidden Markov Model for Modeling Positive Sequential Data
As positive data are often encountered in a variety of real-life applications, research on modeling positive data vectors has increasingly drawn attention. The focus of this chapter is to tackle the problem of...
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Chapter
Bounded Asymmetric Gaussian Mixture-Based Hidden Markov Models
Hidden Markov models (HMMs) have been widely applied in machine learning to model diversified and heterogeneous time series data. In this chapter, integration of the bounded asymmetric Gaussian mixture model (...
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Book
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Chapter
Multivariate Beta-Based Hidden Markov Models Applied to Human Activity Recognition
Over the past decades, human activity recognition has become an attention-grabbing topic of research. Various algorithms have been proposed and applied for activity recognition. Proposing a robust method is st...