(The original conference version of this paper mischaracterizes the contributions of the current authors, relative to the contributions of Keogh et al. [11, 12]. We would like to ...
Data cleaning and ETL processes are usually modeled as graphs of data transformations. The involvement of the users responsible for executing these graphs over real data is importa...
We present a data-level comparative visualization system that utilizes two key pieces of technology: (1) cross-mesh field evaluation – algorithms to evaluate a field from one ...
Hank Childs, Sean Ahern, Jeremy S. Meredith, Mark ...
By measuring the anisotropic self-diffusion rates of water, Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) provides a unique noninvasive probe of fibrous tissue. In par...
Scientists and engineers are making increasingly use of hp-adaptive discretization methods to compute simulations. While techniques for isocontouring the high-order data generated...
Christian Azambuja Pagot, Joachim E. Vollrath, Fil...
Saliency-based analysis can be applied to time-varying 3D datasets purpose of summarization, abstraction, and motion analysis. As the sizes of time-varying datasets continue to gro...
Youngmin Kim, Robert Patro, Cheuk Yiu Ip, Dianne P...
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...