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FASE
2011
Springer
14 years 5 months ago
Automated Learning of Probabilistic Assumptions for Compositional Reasoning
Probabilistic verification techniques have been applied to the formal modelling and analysis of a wide range of systems, from communication protocols such as Bluetooth, to nanosca...
Lu Feng, Marta Z. Kwiatkowska, David Parker
CVPR
2008
IEEE
16 years 4 months ago
Optical flow estimation with uncertainties through dynamic MRFs
In this paper, we propose a novel dynamic discrete framework to address image morphing with application to optical flow estimation. We reformulate the problem using a number of di...
Ben Glocker, Nikos Paragios, Nikos Komodakis, Geor...
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JVCA
2007
128views more  JVCA 2007»
15 years 1 months ago
Impulse-based dynamic simulation in linear time
This paper describes an impulse-based dynamic simulation method for articulated bodies which has a linear time complexity. Existing linear-time methods are either based on a reduc...
Jan Bender
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 4 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
BMCBI
2010
138views more  BMCBI 2010»
15 years 2 months ago
A model-independent approach to infer hierarchical codon substitution dynamics
Background: Codon substitution constitutes a fundamental process in molecular biology that has been studied extensively. However, prior studies rely on various assumptions, e.g. r...
Olof Görnerup, Martin Nilsson Jacobi