RFF-GP-HSMM speeds up unsupervised time-series segmentation by approximating Gaussian processes with random Fourier features, cutting computation time by up to 278 times on motion capture data with similar accuracy.
Unsupervised work behavior analysis using hierarchical probabilistic segmentation,
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Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process
RFF-GP-HSMM speeds up unsupervised time-series segmentation by approximating Gaussian processes with random Fourier features, cutting computation time by up to 278 times on motion capture data with similar accuracy.