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» Newton's method and its use in optimization
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GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
14 years 22 days ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
ECCV
2010
Springer
13 years 11 months ago
Bundle Adjustment in the Large
Abstract. We present the design and implementation of a new inexact Newton type algorithm for solving large-scale bundle adjustment problems with tens of thousands of images. We ex...
JMIV
2007
83views more  JMIV 2007»
13 years 7 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
JCC
2010
116views more  JCC 2010»
13 years 6 months ago
A comment to the nudged elastic band method
: The minimum energy path (MEP) is an important reaction path concept of theoretical chemistry, and the nudged elastic band (NEB) method with its many facets is a central method to...
Wolfgang Quapp, Josep Maria Bofill
DAGSTUHL
2007
13 years 9 months ago
Matrix Analytic Methods in Branching processes
We examine the question of solving the extinction probability of a particular class of continuous-time multi-type branching processes, named Markovian binary trees (MBT). The exti...
Sophie Hautphenne, Guy Latouche, Marie-Ange Remich...