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» The Convergence of Iterated Classification
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ICIP
2009
IEEE
13 years 8 months ago
PCA Gaussianization for image processing
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
Valero Laparra, Gustavo Camps-Valls, Jesús ...
SIAMMAX
2010
92views more  SIAMMAX 2010»
13 years 5 months ago
Estimating the Backward Error in LSQR
We propose practical stopping criteria for the iterative solution of sparse linear least squares (LS) problems. Although we focus our discussion on the algorithm LSQR of Paige and ...
Pavel Jiránek, David Titley-Péloquin
ORL
1998
130views more  ORL 1998»
13 years 10 months ago
Accelerating convergence in the Fermat-Weber location problem
This paper presents a simple procedure for accelerating convergence in a generalized Fermat–Weber problem with lp distances. The main idea is to multiply the predetermined step ...
Jack Brimberg, Reuven Chen, Doron Chen
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 11 months ago
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding...
D. Leventhal, A. S. Lewis
CIA
2007
Springer
14 years 5 months ago
Multi-agent Learning Dynamics: A Survey
Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...
H. Jaap van den Herik, Daniel Hennes, Michael Kais...