516 search results - page 74 / 104 » A Multiresolution Threshold Selection Method Based on Traini... |
PR
2007
13 years 7 months ago
2007
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
MCS
2000
Springer
13 years 11 months ago
2000
Springer
Various methods exist for reducing correlation between classifiers in a multiple classifier framework. The expectation is that the composite classifier will exhibit improved perfor...
ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Many sophisticated classification algorithms have been proposed. However, there is no clear methodology of comparing the results among different methods. According to ou...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
PRL
2008
13 years 7 months ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...