Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
We propose a novel approach, called Dynamic Fractional Resource Scheduling (DFRS), to share homogeneous cluster computing platforms among competing jobs. DFRS leverages virtual mac...
We address the classic problems of detection, segmenta-
tion and pose estimation of people in images with a novel
definition of a part, a poselet. We postulate two criteria
(1) ...
Adaptive transmit power control in 802.11 Wireless LANs (WLANs) on a per-link basis helps increase network capacity and improves battery life of Wifi-enabled mobile devices. Howev...
Kishore Ramachandran, Ravi Kokku, Honghai Zhang, M...
Wireless sensor networks represent an extremely fastgrowing emerging technology, but still suffer from several limitations. The state of the art in sensor networks focuses on opti...
Andreea Berfield, Panos K. Chrysanthis, Daniel Mos...