In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...
Hough voting methods efficiently handle the high complexity of multiscale,
category-level object detection in cluttered scenes. The primary weakness
of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
In this paper, we propose a refinement of TCP Westwood allowing the management of the Efficiency/Friendliness-toNewReno tradeoff. We show that the refined TCP Westwood is able to ...
Ren Wang, Massimo Valla, M. Y. Sanadidi, Bryan K. ...