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Abstract: We present a new probabilistic classifier for object recognition that allows us to use separate feature vectors, selected specifically for each class. We obtain this result by extending previous work on Class Specific Classifiers and Spin Glass-Markov Random Fields. The resulting method, that we call Kernel-Class Specific Classifier, allows us to use a different kernel and a different reference hypothesis for each object class by learning them. We present promising experiments on object... (Update)
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BibTeX entry: (Update)
@misc{ classifiers-marxist,
author = "Kernel-Class Specific Classifiers",
title = "A Marxist Approach to Object Recognition:",
url = "citeseer.ist.psu.edu/735334.html" }
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10 FRAME: Filters, Random field And Maximum Entropy: Towards a .. (context) - Zhu, Wu et al. - 1998
9 Class-specific features in classification (context) - Baggenstoss - 1999
2 to each according to its needs: kernel class specific classi.. (context) - Caputo, Niemann
1 How to combine color and shape information for object recogn.. (context) - Caputo, Dorko
1 A theoretically optimal probabilistic classifier using class.. (context) - Baggenstoss, Niemann
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