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APPROX
2006
Springer
121views Algorithms» more  APPROX 2006»
15 years 1 months ago
A Randomized Solver for Linear Systems with Exponential Convergence
Abstract. The Kaczmarz method for solving linear systems of equations Ax = b is an iterative algorithm that has found many applications ranging from computer tomography to digital ...
Thomas Strohmer, Roman Vershynin
CIARP
2006
Springer
14 years 11 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
14 years 11 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
NIPS
2008
14 years 11 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
SIGGRAPH
2010
ACM
14 years 9 months ago
Motion regularization for matting motion blurred objects
Abstract-- This paper addresses the problem of matting motion blurred objects from a single image. Existing single-image matting methods are designed to extract static objects that...
Hai Ting Lin, Yu-Wing Tai, Michael S. Brown