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CVPR
2000
IEEE
16 years 8 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
BMCBI
2007
129views more  BMCBI 2007»
15 years 6 months ago
Algebraic correction methods for computational assessment of clone overlaps in DNA fingerprint mapping
Background: The Sulston score is a well-established, though approximate metric for probabilistically evaluating postulated clone overlaps in DNA fingerprint mapping. It is known t...
Michael C. Wendl
JCP
2007
108views more  JCP 2007»
15 years 6 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
SIAMSC
2010
141views more  SIAMSC 2010»
15 years 4 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
SC
2005
ACM
15 years 11 months ago
Leading Computational Methods on Scalar and Vector HEC Platforms
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to build high-end computing (HEC) platforms, primarily because of their generality, ...
Leonid Oliker, Jonathan Carter, Michael F. Wehner,...