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Novel Fusion Methods for Pattern Recognition
Published on Nov 30, 20113239 Views
e last few years, several approaches have been proposed for information fusion including different variants of classifier level fusion (ensemble methods), stacking and multiple kernel learning (MKL).
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Chapter list
Novel Fusion Methods for Pattern Recognition00:00
Motivation00:16
Problem Statement00:43
Contents01:02
Multiple Kernel Learning (MKL)01:32
Classifier Level Fusion (CLF) - 102:20
Classifier Level Fusion (CLF) - 203:08
Classifier Level Fusion (CLF) - 303:42
Binary CLF with Non-Linear Constraints05:16
Multiclass CLF (NLP-νMC)06:25
Multiclass CLF (NLP-β)07:45
Multiclass CLF (NLP-B)08:49
Extended Stacking09:27
Base plus Stacking Kernel10:53
Results11:19
PASCAL VOC 2007 - 112:20
PASCAL VOC 2007 - 213:08
Results - 214:45
Mean Accuracy on Oxford Flower1715:28
Summary of Mean Accuracy on Computer Vision Datasets20:03
Protein Subcellular Localization20:11
Conclusions21:00
Thanks!22:54