68 search results - page 6 / 14 » On the Margin Explanation of Boosting Algorithms |
116
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
A new strategy is proposed for the design of cascaded object detectors of high detection-rate. The problem of jointly minimizing the false-positive rate and classification complex...
102
Voted
NIPS
2007
15 years 2 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
95
Voted
ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
112
Voted
DIS
2010
Springer
14 years 10 months ago
2010
Springer
In this paper, we consider finding a small set of substring patterns which classifies the given documents well. We formulate the problem as 1 norm soft margin optimization problem ...
123
Voted
ML
2002
ACM
15 years 14 days ago
2002
ACM
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...