Improving sparse representation-based image classification using truncated total least squares
Improving sparse representation-based image classification using truncated total least squares is a scholarly work, published in 2018 in ''Multimedia Tools and Applications''. The main subjects of the publication include political representation, regularization, noise reduction, artificial intelligence, computer science, image fusion, Truncation, facial recognition system, algorithm, least-squares function approximation, benchmark, Total least squares, pattern recognition, and Sparse modeling. The authors performed a large number of experiments with this method on several popular benchmark datasets, and the results showed that the sparse representation can be improved if it is combined with the truncation.