We describe two nonconventional algorithms for linear regression, called GAME and CLASH. The salient characteristics of these approaches is that they exploit the convex `1-ball and non-convex `0-sparsity constraints jointly in sparse recovery. To establish the theoretical approximation guarantees of GAME and CLASH, we cover an interesting range of topics from game theory, convex and combinatori...

MR offers by far the most sensitive technique for detecting multiple sclerosis (MS) lesions and has proved to be an important paraclinical tool for diagnosing MS and monitoring therapeutic trials. Technologic advances of MR in recent years have dramatically improved our understanding of MS disease. This review will focus on the contribution of MR imaging in MS and provide a discussion of conven...

In practical applications of control in industry many problems appear due to the presence of variable delays and sensor malfunctions causing loss of data availability during a certain amount of time. Thus, the joint handling of the reasoning procedure (in our case using fuzzy rulebases), the missing measurements (scarce data) and the use of irregular sampling patterns is needed to replicate hum...