There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
In this paper, we propose a novel approach of image annotation by constructing a hierarchical mapping between lowlevel visual features and text features utilizing the relations wi...
In this paper we describe a method for the reconstruction and visualization of functional models of monkey brains. Models are built through the registration of high resolution imag...
Fabio Bettio, Francesca Frexia, Andrea Giachetti, ...
Editing graphic models always entails layout problems. Inserting and deleting items requires tedious manual work for shifting existing items and rearranging the diagram layout. He...
Christian Seybold, Martin Glinz, Silvio Meier, Nan...
We introduce an approach to visualize stationary 2D vector fields with global uncertainty obtained by considering the transport of local uncertainty in the flow. For this, we ex...