1256 search results - page 3 / 252 » On Combining Classifiers |
NIPS
2001
13 years 7 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
ICDAR
2003
IEEE
13 years 11 months ago
2003
IEEE
For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
ANNPR
2008
Springer
13 years 7 months ago
2008
Springer
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
NIPS
1996
13 years 7 months ago
1996
To obtain classification systems with both good generalizat`ion performance and efficiency in space and time, we propose a learning method based on combinations of weak classifiers...