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A Marxist Approach to Object Recognition:  (Make Corrections)  
Kernel-Class Specific Classifiers Barbara Caputo NADA, CVAP...



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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" }
Citations (may not include all citations):
325   Color Indexing (context) - Swain, Ballard - 1991
123   Toward optimal feature selection - Koller, Sahami
117   Chapman and Hall (context) - Cox, Hinkley et al. - 1974
113   Learning with kernels (context) - Scholkopf, Smola - 2002
56   Modeling Brain Function (context) - Amit - 1989
53   Recognition without correspondence using multidimensional re.. - Schiele, Crowley - 2000
49   Matching Shapes - Belongie, Malik et al.
35   Evaluation of Interest Point Detectors - Schmid, Mohr et al. - 2000
29   Training invariant support vector machines - Decoste, Schoelkopf - 2002
26   A cubist approach to object recognition - Nelson, Selinger
20   A statistical method of 3d object detection applied to faces.. (context) - Schneiderman, Kanade
16   On representation and matching of multi-coloured objects (context) - Matas, Marik et al.
10   Analyzing appearance and contour based methods for object ca.. - Leibe, Schiele
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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