1584 search results - page 51 / 317 » On Combining Multiple Classifiers Using an Evidential Approa... |
100
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RAS
2008
14 years 11 months ago
2008
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
114
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PAKDD
2000
ACM
15 years 3 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
105
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GECCO
2003
Springer
15 years 5 months ago
2003
Springer
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
116
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BMCBI
2008
14 years 12 months ago
2008
Background: Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) ...