Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Human-aided computing proposes using information measured directly from the human brain in order to perform useful tasks. In this paper, we extend this idea by fusing computer vis...
Elsa Kosmack Vaara Kristina H??k The Affective Health system is a mobile lifestyle application that aims to empower people to reflect on their lives and lifestyles. The system logs...
Elsa Kosmack Vaara, Jakob Tholander, Kristina H&ou...
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...