Code related to the paper: Hartoyo, A., Argasiński, J., Trenk, A., Przybylska, K., Błasiak, A., & Crimi, A. (2025). Synergistic eigenanalysis of covariance and ...
Abstract: Traditional feature matching algorithms such as SIFT and SURF rely on image gradient information to construct descriptors, but their performance significantly degrades in matching visible ...
Abstract: Semi-supervised sparse feature selection, which can exploit the small number labeled data and large number unlabeled data simultaneously, has become an important technique in many ...