Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requiremen...
Xin Li, Zhou Lei, Christopher D. White, Gabrielle ...
Many Ubiquitous computing applications can be considered as planning and acting problems in environments characterised by uncertainty and partial observability. Such systems rely ...
Interest for computational trust and reputation models is on the rise. One of the most important aspects of these models is how they deal with information received from other indi...
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
Local bundle adjustment (LBA) has recently been introduced
to estimate the geometry of image sequences taken by
a calibrated camera. Its advantage over standard (global)
bundle ...