Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
The In Silico Liver (ISL) plugs together autonomous software objects that represent hepatic components at different scales and levels of details. ISL parameters sensitive to drug-...
Li Yan, Sunwoo Park, Shahab Sheikh-Bahaei, Glen E....
The interrelationship between software faults and failures is quite intricate and obtaining a meaningful characterization of it would definitely help the testing community in decid...
Sigrid Eldh, Sasikumar Punnekkat, Hans Hansson, Pe...
This work deals with the problem of backgroundforeground segmentation in video scenes. We propose an approach that makes use of feature extraction and matching, robust estimation,...
Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatl...