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 ...
One approach to reducing the costs of usability testing is to facilitate the automatic detection of critical incidents: serious breakdowns in interaction that stand out during sof...
David Akers, Matthew Simpson, Robin Jeffries, Terr...
In this paper, we propose a collaborative technique for face orientation estimation in smart camera networks. The proposed spatiotemporal feature fusion analysis is based on active...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Abstract—Many applications in wireless sensor networks require communication performance that is both consistent and high quality. Unfortunately, performance of current network p...
Shan Lin, Gang Zhou, Kamin Whitehouse, Yafeng Wu, ...