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ICTAI
2008
IEEE
14 years 1 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause

Publication
794views
15 years 3 months ago
A Fast Implementation of The Level Set Method Without Solving Partial Differential Equations
"The level set method is popular in the numerical implementation of curve evolution, but its high computational cost is a bottleneck for real-time applications. In this report...
Yonggang Shi, William Clem Karl
CISIS
2009
IEEE
13 years 5 months ago
Simultaneous Background/Foreground Segmentation and Contour Smoothing with Level Set Based Partial Differential Equation for Int
In this paper, we propose a level set based energy functional, the minimization of which results in simultaneous background modeling, foreground segmentation, and contour smoothin...
Suk Ho Lee, Nam-seok Choi, Byung-Gook Lee, Moon Gi...
SIAMNUM
2011
102views more  SIAMNUM 2011»
12 years 10 months ago
Differential Equations for Roaming Pseudospectra: Paths to Extremal Points and Boundary Tracking
Abstract. When studying the ε-pseudospectrum of a matrix, one is often interested in computing the extremal points having maximum real part or modulus. This is a crucial step, for...
Nicola Guglielmi, Christian Lubich
ISBI
2004
IEEE
14 years 8 months ago
Variational Methods and Partial Differential Equations in Cardiac Image Analysis
Cardio-vascular diseases is a major cause of deaths worldwide. Early diagnosis is quite often associated with more efficient treatment leading to a significant decrease of the mor...
Nikos Paragios