This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
Although most of existing research usually detects events by analyzing the content or structural information of Web documents, a recent direction is to study the usage data. In th...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
Brian J. Holden, John W. Pinney, Simon C. Lovell, ...
In this paper, we propose a refinement of TCP Westwood allowing the management of the Efficiency/Friendliness-toNewReno tradeoff. We show that the refined TCP Westwood is able to ...
Ren Wang, Massimo Valla, M. Y. Sanadidi, Bryan K. ...