Weconsidertheproblem of optimal, data-dependentzerotree designfor use in weighted universal zerotree codes for image compression.A weighted universalzerotree code (WUZC) is a data...
This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artif...
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...