In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
Abstract. In the last decades, the Satisfiability and Constraint Satisfaction Problem frameworks were extended to integrate aspects such as uncertainties, partial observabilities, ...
This paper describes a function-based timing-driven optimization technique for the synthesis of multi-level logic circuits. Motivated by the principles of parallel prefix computat...
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Brat...
A novel decomposition of functions using generalized bitplanes has been recently proposed. Such a decomposition maps a function into a set of indexes, thus performing quantization...