1174 search results - page 113 / 235 » Boosting for transfer learning |
105
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ICB
2007
Springer
15 years 4 months ago
2007
Springer
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH featu...
105
Voted
CORR
2008
Springer
15 years 25 days ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
114
Voted
MCS
2002
Springer
15 years 12 days ago
2002
Springer
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
130
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CVPR
2011
IEEE
14 years 4 months ago
2011
IEEE
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods tha...
120
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...