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MOC
2010
13 years 2 months ago
On a class of frozen regularized Gauss-Newton methods for nonlinear inverse problems
In this paper we consider a class of regularized Gauss-Newton methods for solving nonlinear inverse problems for which an a posteriori stopping rule is proposed to terminate the it...
Qinian Jin
SIAMNUM
2011
95views more  SIAMNUM 2011»
13 years 2 months ago
A General Convergence Analysis of Some Newton-Type Methods for Nonlinear Inverse Problems
We consider the methods xδ n+1 = xδ n − gαn (F (xδ n)∗F (xδ n))F (xδ n)∗(F (xδ n)− yδ) for solving nonlinear ill-posed inverse problems F (x) = y using the only ava...
Qinian Jin
CVPR
1999
IEEE
13 years 12 months ago
Efficient Iterative Solution to M-View Projective Reconstruction Problem
We propose an efficient solution to the general M-view projective reconstruction problem, using matrix factorization and iterative least squares. The method can accept input with ...
Qian Chen, Gérard G. Medioni
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 2 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...