Conventional cache models are not suited for real-time parallel processing because tasks may flush each other’s data out of the cache in an unpredictable manner. In this way th...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Ears are a new biometric with major advantage in that they appear to maintain their structure with increasing age. Expanding on our previous parts-based model, we propose a new wa...
We present an algorithm to improve trajectory estimation in networks of non-overlapping cameras using audio measurements. The algorithm fuses audiovisual cues in each camera’s ...
— Various monitoring and performance evaluation tools generate considerable amount of low priority traffic. This information is not always needed in real time, and thus could of...