76 search results - page 2 / 16 » An Ensemble Approach for Incremental Learning in Nonstationa... |
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
MCS
2005
Springer
14 years 1 months ago
2005
Springer
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
DAGM
2007
Springer
14 years 1 months ago
2007
Springer
Deblurring is important in many visual systems. This paper presents a novel approach for nonstationary blurred image reconstruction with ringing reduction in a variational Bayesian...
MCS
2004
Springer
14 years 27 days ago
2004
Springer
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...