We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
— 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...
Uncertainty analysis through sensitivity studies and quantification of the variance of the reliability estimate has become more common in architecture-based software reliability ...
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...