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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...
CVPR
1998
IEEE
16 years 6 months ago
Video Scene Segmentation via Continuous Video Coherence
In extended video sequences, individual frames are grouped into shots which are defined as a sequence taken by a single camera, and related shots are grouped into scenes which are...
John R. Kender, Boon-Lock Yeo
132
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BMCBI
2006
100views more  BMCBI 2006»
15 years 4 months ago
Towards a better solution to the shortest common supersequence problem: the deposition and reduction algorithm
Background: The problem of finding a Shortest Common Supersequence (SCS) of a set of sequences is an important problem with applications in many areas. It is a key problem in biol...
Kang Ning, Hon Wai Leong
CGF
2010
117views more  CGF 2010»
15 years 4 months ago
SafeGI: Type Checking to Improve Correctness in Rendering System Implementation
Historically, rendering system development has been mainly focused on improving the numerical accuracy of the rendering algorithms and their runtime efficiency. In this paper, we ...
Jiawei Ou, Fabio Pellacini
ECCV
2008
Springer
16 years 6 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal