We report on our experience from design and implementation of a powerful map application for managing, querying and visualizing evolving locations of moving objects. Instead of bu...
Kostas Patroumpas, Evi Kefallinou, Timos K. Sellis
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
Content delivery networks have evolved beyond traditional distributed caching. With services such as Akamai's EdgeComputing it is now possible to deploy and run enterprise bu...
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
This article presents a semi-automatic segmentation of the fibrous liver tissue in the in-vivo liver biopsy color images. The segmentation is performed using a tree-based classifi...