455 search results - page 8 / 91 » Adaptive Sampling for Noisy Problems |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
EMO
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
ICIP
2006
IEEE
14 years 1 months ago
2006
IEEE
Compressive sampling (CS), or “Compressed Sensing,” has recently generated a tremendous amount of excitement in the image processing community. CS involves taking a relatively...
CVPR
2010
IEEE
14 years 24 days ago
2010
IEEE
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
CSE
2009
IEEE
14 years 2 months ago
2009
IEEE
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...