The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
More and more users are contributing and sharing more and more contents on the Web via the use of content hosting sites and social media services. These user–generated contents ...
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
In this paper we consider a novel multimedia application, in which drivers may query multimedia clips captured by smartphones mounted on other vehicles. These multimedia clips vis...
The in-network query processing paradigm in sensor networks postulates that a query is routed among sensors and collects the answers from the sensors on its trajectory. It works f...
This paper proposes a method for generating a Focus+Glue +Context map for Web map services by improving existing fisheye views methods for cartographic data. While many studies h...
Data warehouses and On-Line Analytical Processing (OLAP) provide an analysis framework supporting the decision making process. In many application domains, complex analysis tasks ...
Harnessing the potential of today’s ever growing and dynamic geospatial data requires the development of novel visual analysis interfaces, tools and technologies. In this paper,...
Luciano Nocera, Arjun Rihan, Songhua Xing, Ali Kho...