Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Abstract—In this paper, we present the analysis and experimental validation of a vision-aided inertial navigation algorithm for planetary landing applications. The system employs...
Anastasios I. Mourikis, Nikolas Trawny, Stergios I...
Abstract— Graphical variant modeling refers to a novel approach to object-oriented modeling whereby a class overrides behavior inherited from a parent class by specifying variati...
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
123 African American men in America are 65% more likely to develop prostate cancer and are two to three times more likely to die of the disease than Caucasian men [1]. While resear...
Patrick Bobbie, Renee Reams, Sandra Suther, C. Per...