A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
— The frenetic development of the current architectures places a strain on the current state-of-the-art programming environments. Harnessing the full potential of such architectu...
George Bosilca, Aurelien Bouteiller, Anthony Danal...
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Scenes with cast shadows can produce complex sets of
images. These images cannot be well approximated by lowdimensional
linear subspaces. However, in this paper we
show that the...
The Euclidean skeleton is essential for general shape representation. This paper provides an e cient method to extract a well-connected Euclidean skeleton by a neighbor bisector d...