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CEC
2010
IEEE
13 years 3 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
SAC
2008
ACM
13 years 4 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
ICPR
2008
IEEE
14 years 6 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...
ICPR
2002
IEEE
14 years 5 months ago
VizWear-Active: Distributed Monte Carlo Face Tracking for Wearable Active Cameras
In this paper, we discuss a Distributed Monte Carlo (DMC) tracking method which achieves real-time and accurate face tracking for wearable active vision systems. The DMC is an ext...
Takekazu Kato, Takeshi Kurata, Katsuhiko Sakaue
FGCS
2008
127views more  FGCS 2008»
13 years 4 months ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...