This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
While a number of acoustic localisation systems have been proposed over the last few decades, these have typically either relied on expensive dedicated microphone arrays and works...
While a natural fit for modeling and understanding mobile networks, time-varying graphs remain poorly understood. Indeed, many of the usual concepts of static graphs have no obvi...
John Whitbeck, Marcelo Dias de Amorim, Vania Conan...
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
This paper combines an analysis of data on security vulnerabilities (published in Bugtraq database) and a focused source-code examination to develop a finite state machine (FSM) m...
Shuo Chen, Zbigniew Kalbarczyk, Jun Xu, Ravishanka...