Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Many spatio-temporal applications involve managing and querying moving objects. In such an environment, predictive spatio-temporal queries become an important query class to be pr...
This paper addresses a purely software-based solution to the multiprocessor cache coherence problem by structuring an operating system to provide for the coherence of its own data...
We present an approach to partitioning and mapping for multicluster embedded systems consisting of time-triggered and eventtriggered clusters, interconnected via gateways. We have...
Paul Pop, Petru Eles, Zebo Peng, Viacheslav Izosim...