Many new multimedia applications involve dynamic multiple participants, have stringent endto-end delay requirement and consume large amount of network resources. In this paper, we...
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social acti...
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Ri...
The identification and processing of similarities in the data play a key role in multiple application scenarios. Several types of similarity-aware operations have been studied in ...