240 search results - page 23 / 48 » Robust Multi-Objective Optimization in High Dimensional Spac... |
ICMLA
2008
14 years 11 months ago
2008
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
83
Voted
ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
IMR
2003
Springer
15 years 2 months ago
2003
Springer
Motivated by Lagrangian simulation of elastic deformation, we propose a new tetrahedral mesh generation algorithm that produces both high quality elements and a mesh that is well ...
ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...