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CreatorTitleDescriptionSubjectDate
1 Venkatasubramanian, SureshApproximate Bregman near neighbors in sublinear time: beyond the triangle inequalityBregman divergences are important distance measures that are used extensively in data-driven applications such as computer vision, text mining, and speech processing, and are a key focus of interest in machine learning. Answering nearest neighbor (NN) queries under these measures is very important i...2012-01-01
2 Thompson, William B.Evaluating the accuracy of size perception in real and virtual environmentsAccurate perception of the size of 3D objects depicted on 2D desktop displays is important for many applications. Whether users perceive objects depicted on a display to be the same size as comparable real world objects is not well understood. We propose using affordances judgments as a way of measu...2012-01-01
3 Berzins, MartinRadiation modeling using the Uintah heterogeneous CPU/GPU runtime systemThe Uintah Computational Framework was developed to provide an environment for solving fluid-structure interaction problems on structured adaptive grids on large-scale, long-running, data-intensive problems. Uintah uses a combination of fluid-flow solvers and particle-based methods for solids, toget...2012-01-01
4 Regehr, JohnSwarm testingSwarm testing is a novel and inexpensive way to improve the diversity of test cases generated during random testing. Increased diversity leads to improved coverage and fault detection. In swarm testing, the usual practice of potentially including all features in every test case is abandoned. Rather,...2012-01-01
5 Regehr, JohnTest-case reduction for C compiler bugsTo report a compiler bug, one must often find a small test case that triggers the bug. The existing approach to automated test-case reduction, delta debugging, works by removing substrings of the original input; the result is a concatenation of substrings that delta cannot remove. We have found this...2012-01-01
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