The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Static analysis has gained much attention over the past few years in applications such as bug finding and program verification. As software becomes more complex and componentize...
Xiaolan Zhang, Larry Koved, Marco Pistoia, Sam Web...
In this paper, we propose a new method for simulating reactive motions for running or walking human figures. The goal is to generate realistic animations of how humans compensate...
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...