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--- en:data [2014/12/24 12:32] – [KITTI semantic segmentation ground truth] xuphilip
+++ en:data [2016/11/08 12:01] (current) – xuphilip
@@ Line 1: / Line 1: @@
+====== Evidential Calibration ======
+We provide the MATLAB® code for our evidential multiclass classifier calibration method.
+  * calibTrain.m:  train the calibration model given some validation data
+  * score2prob.m:  transform a vector of scores into probabilities
+  * score2plaus.m: transform a vector of scores into plausibilities over singletons
+== Download ==
+^  ^  Link  ^
+^ Calibration code | {{:en:codes:multinomial_calibration.zip|}} |
+== References ==
+**__Ph. Xu__**, F. Davoine, H. Zha and T. Denœux.
+**Evidential calibration of binary SVM classifiers**.
+//International Journal of Approximate Reasoning (IJAR)//, Vol. 72, pages 55--70, May 2016.\\
+{{:en:publis:xu14_ijar_evidential_calibration_of_binary_svm_classifiers.pdf|Paper}}
+[[https://hal.archives-ouvertes.fr/hal-01154794|HAL]]
+[[https://dx.doi.org/10.1016/j.ijar.2015.05.002|DOI]]
+**__Ph. Xu__**, F. Davoine and T. Denœux.
+**Evidential Multinomial Logistic Regression for Multiclass Classifier Calibration**.
+In //Proceedings of the 18th International Conference on Information Fusion//, pages 1106-1112, Washington, D.C., July 6-9, 2015.\\
+{{:en:publis:xu15_fusion_evidential_multimodal_logistic_regression_for_multiclass_classifier_calibration.pdf|Paper}}
+**__Ph. Xu__**, F. Davoine and T. Denœux.
+**Evidential Logistic Regression for Binary SVM Classifier Calibration**.
+In F. Cuzzolin, editor, //Belief Functions: Theory and Applications//.
+//Proceedings of the 3rd International Conference on Belief Functions//, Springer, LNCS 8764, pages 49-57, Oxford, UK, September 26-28, 2014.\\
+{{:en:publis:xu14_belief_evidential_logistic_regression_for_binary_svm_classifier_calibration.pdf|Paper}}
+{{:en:publis:xu14_belief_presentation.pdf|Oral}}
+[[https://dx.doi.org/10.1007/978-3-319-11191-9_6|DOI]]
+{{:en:publi:xu14_belief.bib|BibTeX}}
+----
 ====== Combination of pedestrian detectors ======
@@ Line 29: / Line 64: @@
 ----
-====== KITTI semantic segmentation ground truth ======
+====== KITTI semantic segmentation ======
 {{ :en:sample.png?nolink |}}
 {{ :en:classes.png?nolink |}}
@@ Line 47: / Line 82: @@
 == References ==
-Ph. Xu, F. Davoine, J.-B. Bordes, H. Zhao and T. Denoeux.
+**__Ph. Xu__**, F. Davoine, J.-B. Bordes, H. Zhao and T. Denœux.
 **Multimodal Information Fusion for Urban Scene Understanding**.
-//Machine Vision and Applications (MVA)//, in Press, 2014.
+//Machine Vision and Applications (MVA)//, Vol. 27, Issue 3, pages 331--349, April 2016.\\
+[[https://hal.archives-ouvertes.fr/hal-01133430|HAL]]
+[[https://dx.doi.org/10.1007/s00138-014-0649-7|DOI]]
-Ph. Xu, F. Davoine, J.-B. Bordes, H. Zhao and T. Denoeux.
+**__Ph. Xu__**, F. Davoine, J.-B. Bordes, H. Zhao and T. Denoeux.
 **Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding**.
 In //Proceedings of the Thirteenth IAPR International Conference on Machine Vision Applications (MVA)//, pages 189-193, Kyoto, Japan, May 20-23, 2013.
 {{en/publi/xu13_mva_information_fusion_on_oversegmentated_images_an_application_for_urban_scene_understanding.pdf|paper}}{{en/publi/xu13_mva_presentation.pdf|oral}}
 [[http://hal.archives-ouvertes.fr/hal-00932896|HAL]]
-----
-====== KITTI moving object segmentation ground truth ======
-Coming soon...

UMR CNRS 7253

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