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ICPR
2008
IEEE
15 years 10 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
15 years 3 months ago
Adaptive Visual Servoing by Simultaneous Camera Calibration
—Calibration techniques allow the estimation of the intrinsic parameters of a camera. This paper describes an adaptive visual servoing scheme which employs the visual data measur...
Jorge Pomares, François Chaumette, Fernando...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 3 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
ESOP
2004
Springer
15 years 2 months ago
Adaptive Pattern Matching on Binary Data
Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This paper presents an approac...
Per Gustafsson, Konstantinos F. Sagonas
77
Voted
NIPS
2001
14 years 10 months ago
KLD-Sampling: Adaptive Particle Filters
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
Dieter Fox