Dynamic Information Flow Tracking (DIFT) is a promising security technique. With hardware support, DIFT prevents a wide range of attacks on vulnerable software with minimal perfor...
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
With the rise of tools for clinical decision support, there is an increased need for automatic processing of electrocardiograms (ECG) documents. In fact, many systems have already...
Fei Wang, Tanveer Fathima Syeda-Mahmood, David Bey...
— One of the common applications for outdoor robots is to follow a path in large scale unknown environments. This task is challenging due to the intensive memory requirements to ...
Jinhan Lee, Roozbeh Mottaghi, Charles Pippin, Tuck...
Creating an ontology and populating it with data are both labor-intensive tasks requiring a high degree of expertise. Thus, scaling ontology creation and population to the size of ...