Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification. Issue 7 (1st May 2015) - Smith, Daniel
Highlights A new multi-scale time series classifier is proposed using class posterior estimates. The classifier infers a large set of animal behaviour using motion based time series. The proposed classifier outperforms benchmark classifiers by between 43% and 77%. The proposed classifier is found to be more efficient than the Bag of Features model.