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ANOR
2008
53views more  ANOR 2008»
13 years 4 months ago
A globally convergent inexact Newton method with a new choice for the forcing term
In inexact Newton methods for solving nonlinear systems of equations, an approximation to the step sk of the Newton's system J(xk)s = -F(xk) is found. This means that sk must...
Márcia A. Gomes-Ruggiero, Véra Lucia...
SIAMJO
2010
137views more  SIAMJO 2010»
13 years 2 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
JMIV
2007
83views more  JMIV 2007»
13 years 4 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
CVPR
2009
IEEE
14 years 11 months ago
Global Active Contour-based Image Segmentation via Probability Alignment
Active contours is a popular technique for image segmentation. However, active contour tend to converge to the closest local minimum of its energy function and often requires a ...
Andriy Myronenko, Xubo B. Song