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BMCBI
2010
132views more  BMCBI 2010»
13 years 8 months ago
New statistical potential for quality assessment of protein models and a survey of energy functions
Background: Scoring functions, such as molecular mechanic forcefields and statistical potentials are fundamentally important tools in protein structure modeling and quality assess...
Dmitry Rykunov, András Fiser
BMVC
2001
13 years 10 months ago
An Information Theoretic Approach to Statistical Shape Modelling
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
JEI
2008
100views more  JEI 2008»
13 years 8 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
ECBS
2006
IEEE
145views Hardware» more  ECBS 2006»
13 years 12 months ago
The Accuracy of Fault Prediction in Modified Code - Statistical Model vs. Expert Estimation
Fault prediction models still seem to be more popular in academia than in industry. In industry expert estimations of fault proneness are the most popular methods of deciding wher...
Piotr Tomaszewski, Jim Håkansson, Lars Lundb...
ICCAD
1996
IEEE
88views Hardware» more  ICCAD 1996»
14 years 10 days ago
Hierarchical statistical characterization of mixed-signal circuits using behavioral modeling
A methodology for hierarchicalstatistical circuit characterization which does not rely upon circuit-level Monte Carlo simulation is presented. The methodology uses principalcompon...
Eric Felt, Stefano Zanella, Carlo Guardiani, Alber...