We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
ABSTRACT. We present an extension of the Delsarte linear programming method for spherical codes. For several dimensions it yields improved upper bounds including some new bounds on...
This paper reports on steps that have been taken to enhance previously presented evolutionary sound matching work. In doing so, the convergence characteristics are shown to provide...
1 Feature Oriented Programming (FOP) is an emerging paradigm for application synthesis, analysis, and optimization. A target application is specified declaratively as a set of feat...
Previous work has shown that there are two major complexity barriers in the synthesis of fault-tolerant distributed programs, namely generation of fault-span, the set of states re...
Fuad Abujarad, Borzoo Bonakdarpour, Sandeep S. Kul...