2 papers
cs.CV2026
Hyperspectral Unmixing Hierarchies
Joseph L. Garrett, P. S. Vishnu, Pauliina Salmi +4
Unmixing reveals the spatial distribution and spectral details of different constituents, called endmembers, in a hyperspectral image. Because unmixing has limited ground truth req…
math.OC2025
Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization
Flavia Chorobura, Daniela Lupu, Ion Necoara
In this paper we consider large-scale composite nonconvex optimization problems having the objective function formed as a sum of three terms, first has block coordinate-wise Lipsch…