In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
In biopsies, drainages, vertebroplasty, and other needle-based procedures, insight on the 3D position of a needle is crucial for correct navigation by the clinician. In this paper...
Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N...
Aging has considerable visual effects on the human face and is difficult to simulate using a universally-applicable global model. In this paper, we focus on the hypothesis that th...
—In this paper, we have developed a novel framework called JustClick to enable personalized image recommendation via exploratory search from large-scale collections of manuallyan...