1174 search results - page 113 / 235 » Boosting for transfer learning |
131
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ICB
2007
Springer
15 years 7 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...
131
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CORR
2008
Springer
15 years 3 months 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...
135
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MCS
2002
Springer
15 years 3 months 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...
159
Voted
CVPR
2011
IEEE
14 years 7 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...
139
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ICML
2007
IEEE
16 years 4 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...