Visual Permutation Learning We present a principled approach to uncover the structure of visual data by solving a deep learning task coined visual permutation learning. The goal of this task is to ...

Implementation Notes This implementation keeps track of the algorithm stack in a variable called stack and then updates it with the current index each time a new permutation is calculated. It only ...

Entropy metrics (for example, permutation entropy) are nonlinear measures of irregularity in time series (one-dimensional data). Some of these entropy metrics can be generalised to data on periodic ...

MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows - ValentinaUn/Fast-permutation-entropy ...