Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Detecting people remains a popular and challenging problem in computer vision. In this paper, we analyze parts-based models for person detection to determine which components of t...
Professional mashups that include complex choreographies, data mediation, and result publishing within Web pages are still affected by implementation and design practices that rel...
Alessandro Bozzon, Marco Brambilla, Federico Miche...
This work is based on the premise that online learning environments can potentially help develop communities of scholars by enabling participants to discover persons and resources...
TCP throughput instability is a well-known phenomenon in IEEE 802.11 multi-hop ad-hoc networks. However, we find that this problem is not restricted to TCP traffic only, but also ...