—The low-rank matrix completion problem can be stated as follows: given a subset of the entries of a matrix, find a low-rank matrix consistent with the observations. There exist...
Proximal bundle methods have been shown to be highly successful optimization methods for unconstrained convex problems with discontinuous first derivatives. This naturally leads ...
Identifying the objects that constitute a software system is a critical task for any object-oriented system development and several techniques have already been introduced to tack...
This paper is dedicated to the analysis of object identification under desynchronization distortions. While this class of degradations is almost unavoidable in the functionality ...
Oleksiy J. Koval, Sviatoslav Voloshynovskiy, Farza...
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...