The powerful yet conceptually simple notions of Finite-Time Lyapunov Exponent (FTLE) and Lagrangian Coherent Structures provide a powerful framework for the analysis and visualiza...
Christoph Garth, Alexander Wiebel, Xavier Tricoche...
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of thes...