Abstract— In the recent past, many researchers have developed control algorithms for visual servo applications. In this paper, we introduce a new hybrid switched system approach,...
In many data mining tools that support regression tasks, training data are stored in a single table containing both the target field (dependent variable) and the attributes (indepe...
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
High performance general-purpose processors are increasingly being used for a variety of application domains scienti c, engineering, databases, and more recently, media processing...
Parthasarathy Ranganathan, Sarita V. Adve, Norman ...