Few-shot time series segmentation using prototype-defined infinite hidden Markov models

no code implementations • 7 Feb 2021 • Yazan Qarout, Yordan P. Raykov, Max A. Little

We propose a robust framework for interpretable, few-shot analysis of non-stationary sequential data based on flexible graphical models to express the structured distribution of sequential events, using prototype radial basis function (RBF) neural network emissions.

EEG Few-Shot Learning +3