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223
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SIAMSC
2011
219views more  SIAMSC 2011»
14 years 11 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...
EDBT
2012
ACM
228views Database» more  EDBT 2012»
13 years 6 months ago
Finding maximal k-edge-connected subgraphs from a large graph
In this paper, we study how to find maximal k-edge-connected subgraphs from a large graph. k-edge-connected subgraphs can be used to capture closely related vertices, and findin...
Rui Zhou, Chengfei Liu, Jeffrey Xu Yu, Weifa Liang...
126
Voted
CVPR
2007
IEEE
16 years 6 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
180
Voted
ISBI
2004
IEEE
16 years 4 months ago
Model Based Symmetric Information Theoretic Large Deformation Multi-Modal Image Registration
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this...
Peter Lorenzen, Brad Davis, Sarang C. Joshi
150
Voted
WWW
2007
ACM
16 years 4 months ago
P-TAG: large scale automatic generation of personalized annotation tags for the web
The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have ...
Paul-Alexandru Chirita, Stefania Costache, Wolfgan...