Skip navigation

Guillermo A. Cecchi

Guillermo Cecchi is a Research Staff Member at IBM T. J. Watson Research Center, New York.

Titles by This Editor

Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and computer vision.