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101
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PR
2008
85views more  PR 2008»
15 years 21 days ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
PR
2008
129views more  PR 2008»
15 years 21 days ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
PR
2008
119views more  PR 2008»
15 years 21 days ago
Binary-image comparison with local-dissimilarity quantification
In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images h...
Etienne Baudrier, Frédéric Nicolier,...
129
Voted
PRL
2008
213views more  PRL 2008»
15 years 21 days ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
122
Voted
PRL
2008
246views more  PRL 2008»
15 years 21 days ago
Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion
In this paper, the automatic medical annotation task of the 2007 CLEF cross-language image retrieval campaign (ImageCLEF) is described. The paper focusses on the images used, the ...
Thomas Deselaers, Thomas Martin Deserno, Henning M...