With excellent representation power for complex data, deep neural networks (DNNs) based approaches are state-of-the-art for ordinal regression problem which aims to classify instances into ordinal ...

Nuclear-norm-based matrix regression (NMR) methods have been successfully applied for the recognition of corrupted images. However, most of these methods do not consider the label information and are ...

Implementation and visualisation of multiple classical linear calibration methods for a single image.This repo aims to provide as many single image calibration methods as possible for linear pinhole ...

text-to-speech neural-network linear-regression machine-learning-algorithms audiobook logistic-regression gradient-descent decision-tree decision-tree-algorithm multivariate-linear-regression ...