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» Estimating the Probability of Approximate Matches
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178
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SIAMSC
2011
219views more  SIAMSC 2011»
14 years 7 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
15 years 6 months 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
134
Voted
TCSV
2011
14 years 7 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 4 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...
72
Voted
ICASSP
2008
IEEE
15 years 7 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 ...