In this paper we describe an interactive labeling algorithm, which allows to integrate internal 3D labels into medical visualizations generated from volumetric data sets. The prop...
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
— Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common....
Fault tolerance is becoming an increasingly important issue, especially in mission-critical applications where data integrity is a paramount concern. Performance, however, remains...
Steven K. Sinha, Peter Kamarchik, Seth Copen Golds...