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» Quantizing Density Estimators
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APVIS
2010
13 years 4 months ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
EWC
2011
98views more  EWC 2011»
13 years 3 months ago
Real-time triangulation of point streams
Hand-held laser scanners are commonly used in industry for reverse engineering and quality measurements. In this process, it is difficult for the human operator to scan the target...
Klaus Denker, Burkhard Lehner, Georg Umlauf
SIAMSC
2011
219views more  SIAMSC 2011»
13 years 3 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
DAC
2011
ACM
12 years 8 months ago
Rethinking memory redundancy: optimal bit cell repair for maximum-information storage
SRAM design has been a major challenge for nanoscale manufacturing technology. We propose a new bit cell repair scheme for designing maximum-information memory system (MIMS). Unli...
Xin Li
CVPR
2010
IEEE
12 years 6 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu