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» On the convergence of Hill's method
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ICIP
2007
IEEE
16 years 2 months ago
Globally Optimal Multimodal Rigid Registration: An Analytic Solution using Edge Information
Current multimodal registration methods almost always rely on local gradient-descent type optimization strategies. Such registration methods often converge to an incorrect local o...
Jeff Orchard
WCE
2007
15 years 2 months ago
Avant-Garde Matrix Splitting for the Solution of Sparse Non-symmetric Linear Systems
A non-symmetric matrix splitting is presented for the solution of certain sparse linear systems. The author reports the comparison and the convergence performance of the previous a...
A. A. Shah
FOCM
2006
50views more  FOCM 2006»
15 years 1 months ago
Online Learning Algorithms
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
Steve Smale, Yuan Yao
NECO
2006
118views more  NECO 2006»
15 years 1 months ago
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
Aapo Hyvärinen
NN
2006
Springer
108views Neural Networks» more  NN 2006»
15 years 1 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer