Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Review assignment is a common task that many people such as conference organizers, journal editors, and grant administrators would have to do routinely. As a computational problem...
Maryam Karimzadehgan, ChengXiang Zhai, Geneva G. B...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Designing large software systems out of reusable components has become increasingly popular. Although liberal composition of reusable components saves time and expense, many exper...
Jing Dong, Paulo S. C. Alencar, Donald D. Cowan, S...
Abstract. In this paper, we consider whether traditional index structures are effective in processing unstable nearest neighbors workloads. It is known that under broad conditions...