Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Abstract. This paper presents a novel descriptor for human detection in video sequence. It is referred to as spatial-temporal granularity -tunable gradients partition (STGGP), whic...
Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikk...
We argue that certain theoretical commitments that underpin much existing Interorganisational Information Systems (IOIS) research at small scales become untenable when IOIS are st...
As reconfigurable computing (RC) platforms are becoming increasingly large-scale and heterogeneous, efficiently scheduling and partitioning applications on these platforms is a gro...
Casey Reardon, Alan D. George, Greg Stitt, Herman ...
In this paper, we consider the competition of providers of information products against P2P networks that offer illegal versions of the information products. Depending on the gene...
P. Jean-Jacques Herings, Ronald Peeters, Michael S...