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SIP
2001
13 years 9 months ago
Estimation of optical flow for large displacements
In this paper we present a new method to estimate optical flow for large displacements. It is based on prediction of global flow field parameters, performs better than multiresolu...
Torsten Radtke, Horst Salzwedel
BMCBI
2008
108views more  BMCBI 2008»
13 years 7 months ago
Supervised Lowess normalization of comparative genome hybridization data - application to lactococcal strain comparisons
Background: Array-based comparative genome hybridization (aCGH) is commonly used to determine the genomic content of bacterial strains. Since prokaryotes in general have less cons...
Sacha A. F. T. van Hijum, Richard J. S. Baerends, ...
FGCS
2006
82views more  FGCS 2006»
13 years 7 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
CSDA
2008
94views more  CSDA 2008»
13 years 7 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum