Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition
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DOI: 10.1007/s11042-018-7116-9
Abstract: We propose in this paper to recognize human activities through an unsupervised learning of finite multivariate generalized Gaussian mixture model. We address an important cue in finite mixture model which is the estimation of the… read more here.
Keywords: multivariate generalized; unsupervised learning; learning finite; mixture ... See more keywords