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» Input Modeling Using Quantile Statistical Methods
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116
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IJCV
2006
107views more  IJCV 2006»
15 years 17 days ago
Image Deblurring in the Presence of Impulsive Noise
Consider the problem of image deblurring in the presence of impulsive noise. Standard image deconvolution methods rely on the Gaussian noise model and do not perform well with imp...
Leah Bar, Nahum Kiryati, Nir A. Sochen
112
Voted
BMCBI
2006
205views more  BMCBI 2006»
15 years 19 days ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch
RECOMB
2002
Springer
16 years 27 days ago
DNA sequence evolution with neighbor-dependent mutation
We introduce a model of DNA sequence evolution which can account for biases in mutation rates that depend on the identity of the neighboring bases. An analytic solution for this c...
Peter F. Arndt, Christopher B. Burge, Terence Hwa
110
Voted
3DIM
2007
IEEE
16 years 20 days ago
Automatic Pose Estimation for Range Images on the GPU
Object pose (location and orientation) estimation is a common task in many computer vision applications. Although many methods exist, most algorithms need manual initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...
97
Voted
SAS
2007
Springer
128views Formal Methods» more  SAS 2007»
15 years 6 months ago
Magic-Sets Transformation for the Analysis of Java Bytecode
Denotational static analysis of Java bytecode has a nice and clean compositional definition and an efficient implementation with binary decision diagrams. But it models only the f...
Étienne Payet, Fausto Spoto