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» Estimating the Probability of Approximate Matches
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SIAMSC
2011
219views more  SIAMSC 2011»
15 years 1 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...
ICPR
2006
IEEE
16 years 18 days ago
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
A novel stereo matching algorithm is proposed that utilizes color segmentation on the reference image and a selfadapting matching score that maximizes the number of reliable corre...
Andreas Klaus, Mario Sormann, Konrad F. Karner
TCSV
2011
15 years 1 months ago
Background Compensation for Pan-Tilt-Zoom Cameras Using 1-D Feature Matching and Outlier Rejection
This paper proposes an efficient and robust background compensation method for pan-tilt-zoom cameras. The proposed method approximates the relation between consecutive images to a...
Jae Kyu Suhr, Ho Gi Jung, Gen Li, Seung-In Noh, Ja...
MICRO
1993
IEEE
97views Hardware» more  MICRO 1993»
15 years 10 months ago
Register renaming and dynamic speculation: an alternative approach
In this paper, we present a novel mechanism that implements register renaming, dynamic speculation and precise interrupts. Renaming of registers is performed during the instructio...
Mayan Moudgill, Keshav Pingali, Stamatis Vassiliad...
ICASSP
2008
IEEE
16 years 1 months ago
On persymmetric covariance matrices in adaptive detection
In the general area of radar detection, estimation of the clutter covariance matrix is an important point. This matrix commonly exhibits a persymmetric structure: this is the case...
Guilhem Pailloux, Philippe Forster, Jean Philippe ...