NRBMNon Re-Breather Mask
References in periodicals archive ?
The compared methods include: Martinez's [34], which presents a probabilistic approach that is able to compensate for imprecisely localized, partially occluded and expression variant faces even when only one single training sample per class is available to the face recognition system; NRBM [35], which produces not only controllable decomposition of data into interpretable parts but also offers a way to estimate the intrinsic nonlinear dimensionality of data.
We find that, in most cases, our approach consistently outperforms Martinez's method and NRBM over the two test face expressions.