31 search results - page 1 / 7 » A VNS Algorithm for Noisy Problems and Its Application to Pr... |
SAGA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Motivated by an application in project portfolio analysis under uncertainty, we develop an algorithm S-VNS for solving stochastic combinatorial optimization (SCO) problem...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
IJON
2006
13 years 5 months ago
2006
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
ESOP
2006
Springer
13 years 8 months ago
2006
Springer
We present and solve a path optimization problem on programs. Given a set of program nodes, called critical nodes, we find a shortest path through the program's control flow g...