Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing. (arXiv:2210.06901v1 [cs.LG])

Approximation of entropies of various types using machine learning (ML)
regression methods is shown for the first time. The ML models presented in this
study defines the complexity of short time series by approximating dissimilar
entropy techniques such as Singular value decomposition entropy (SvdEn),
Permutation entropy (PermEn), Sample entropy (SampEn) and Neural Network
entropy (NNetEn) and their 2D analogies. A new method for calculating SvdEn2D,
PermEn2D and SampEn2D for 2D images was tested using the technique of circular
kernels. Training …

application approximation arxiv entropy evaluation images machine machine learning regression remote sensing