Abstract. This paper deals with maximum likelihood and least square segmentation of autoregressive random sequences with abruptly changing parameters. Conditional distribution of t...
A large set of tools for network monitoring and accounting, security, traffic analysis and prediction — more broadly, for network operation and management — require direct and...
Loris Degioanni, Mario Baldi, Fulvio Risso, Gianlu...
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
In this paper we propose a new method for extracting line segments from edge images. Our method basically follows a line segment grouping approach. This approach has many advantage...
We present two new Delaunay refinement algorithms, second an extension of the first. For a given input domain (a set of points or a planar straight line graph), and a threshold an...