91 search results - page 1 / 19 » Using output codes to boost multiclass learning problems |
ICML
1997
IEEE
14 years 6 months ago
1997
IEEE
ICML
2005
IEEE
14 years 6 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 5 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
13 years 10 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
14 years 7 months 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...