In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
This paper presents a framework and an intranet solution for an electronic market of human competencies to ease the team building process, as well as to support knowledge and comp...
In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the ...
In this paper we consider the frameworks of Process Algebra and I/O Automata and we apply both towards the verification of a distributed leader-election protocol. Based on the tw...
Marina Gelastou, Chryssis Georgiou, Anna Philippou