91 search results - page 1 / 19 » Using output codes to boost multiclass learning problems |
ICML
1997
IEEE
14 years 11 months ago
1997
IEEE
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
ML
2007
ACM
13 years 10 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
COLT
2000
Springer
14 years 3 months ago
2000
Springer
Output coding is a general framework for solving multiclass categorization problems. Previous research on output codes has focused on building multiclass machines given predefine...
ICPR
2006
IEEE
15 years 7 hour ago
2006
IEEE
In this paper, we introduce a robust novel approach for detecting objects category in cluttered scenes by generating boosted contextual descriptors of landmarks. In particular, ou...