Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

A trainable similarity measure for image classification

Typ:
Conference paper
Authors:
Paclík P., Novovičová J., Duin R. P. W.
Proceedings name:
Proceedings of the 18th International Conference on Pattern Recognition. ICPR 2006
Publisher:
IEEE Press
Year:
2006
Pages:
391-394
ISBN:
0-7695-2521-0
Anotation:
A design of the second stage of classifier based on the recently proposed trainable similarity measure, which is specifically designed for the supervised classification of images.The proposed measure is based on local matches in a set of regions within an image which increases its robustness.The configuration of local regions is derived specifically for each prototype by a training procedure. The comparison to the state-of-art AdaBoost classifiers on a real-world pedestrian recognition problem is presented.
 
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