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» Using self-dissimilarity to quantify complexity
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BMCBI
2010
140views more  BMCBI 2010»
14 years 11 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
79
Voted
SMI
2005
IEEE
106views Image Analysis» more  SMI 2005»
15 years 5 months ago
Shape Complexity Based on Mutual Information
Shape complexity has recently received attention from different fields, such as computer vision and psychology. In this paper, integral geometry and information theory tools are ...
Jaume Rigau, Miquel Feixas, Mateu Sbert
88
Voted
CORR
2006
Springer
91views Education» more  CORR 2006»
14 years 11 months ago
Complexity of Data Flow Analysis for Non-Separable Frameworks
The complexity of round robin iterative data flow analysis has been traditionally defined as 1+d where d is the depth of a control flow graph. However, this bound is restricted to ...
Bageshri Karkare, Uday P. Khedker
HIPS
1997
IEEE
15 years 3 months ago
Complexity and Performance in Parallel Programming Languages
Several parallel programming languages, libraries and environments have been developed to ease the task of writing programs for multiprocessors. Proponents of each approach often ...
Steven P. Vanderwiel, Daphna Nathanson, David J. L...
95
Voted
POPL
1996
ACM
15 years 3 months ago
Using Parameterized Signatures to Express Modular Structure
Module systems are a powerful, practical tool for managing the complexity of large software systems. Previous attempts to formulate a type-theoretic foundation for modular program...
Mark P. Jones