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» Multihomogeneous Newton methods
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EWC
2006
120views more  EWC 2006»
13 years 8 months ago
A comparison of two optimization methods for mesh quality improvement
We compare inexact Newton and block coordinate descent optimization methods for improving the quality of a mesh by repositioning the vertices, where the overall quality is measure...
Lori Freitag Diachin, Patrick M. Knupp, Todd S. Mu...
ICASSP
2009
IEEE
13 years 6 months ago
Adaptive predistortion of nonlinear Volterra systems using Spectral Magnitude Matching
Digital compensation of nonlinear systems is an important topic in many practical applications. This paper considers the problem of predistortion of nonlinear systems described us...
Emad Abd-Elrady, Li Gan, Gernot Kubin
CVPR
2011
IEEE
13 years 4 months ago
Multicore Bundle Adjustment
We present the design and implementation of new inexact Newton type Bundle Adjustment algorithms that exploit hardware parallelism for efficiently solving large scale 3D scene re...
Changchang Wu, Sameer Agarwal, Brian Curless, Stev...
AROBOTS
2007
128views more  AROBOTS 2007»
13 years 8 months ago
Visual homing in environments with anisotropic landmark distribution
Gradient descent in image distances can lead a navigating agent to the goal location, but in environments with an anisotropic distribution of landmarks, gradient home vectors devia...
Ralf Möller, Andrew Vardy, Sven Kreft, Sebast...
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev