Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
World Wide Web, the biggest distributed system ever built, experiences tremendous growth and change in Web sites, users, and technology. A realistic and accurate characterization ...
Katerina Goseva-Popstojanova, Fengbin Li, Xuan Wan...
We present a biologically plausible computational model for solving the visual feature binding problem. The binding problem appears to be due to the distributed nature of visual pr...
Abstract— We demonstrate Product EntityCube, a product recommendation and navigation system. While the unprecedented scale of a product search portal enables to satisfy users wit...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...