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en:data [2015/05/23 13:07] – [Evidential calibration of binary classifiers] xuphilipen:data [2016/11/08 12:01] (current) – xuphilip
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-====== Evidential calibration of binary classifiers ====== +====== Evidential Calibration ====== 
-Coming soon...+ 
 +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 == == References ==
 +
 **__Ph. Xu__**, F. Davoine, H. Zha and T. Denœux. **__Ph. Xu__**, F. Davoine, H. Zha and T. Denœux.
 **Evidential calibration of binary SVM classifiers**. **Evidential calibration of binary SVM classifiers**.
-//International Journal of Approximate Reasoning (IJAR)//, in Press, 2015.\\+//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}} {{: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]] [[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. **__Ph. Xu__**, F. Davoine and T. Denœux.
 **Evidential Logistic Regression for Binary SVM Classifier Calibration**. **Evidential Logistic Regression for Binary SVM Classifier Calibration**.
 In F. Cuzzolin, editor, //Belief Functions: Theory and Applications//. 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. +//Proceedings of the 3rd International Conference on Belief Functions//, Springer, LNCS 8764, pages 49-57, Oxford, UK, September 26-28, 2014.\\
-(**Best student paper award**)\\+
 {{:en:publis:xu14_belief_evidential_logistic_regression_for_binary_svm_classifier_calibration.pdf|Paper}} {{:en:publis:xu14_belief_evidential_logistic_regression_for_binary_svm_classifier_calibration.pdf|Paper}}
 {{:en:publis:xu14_belief_presentation.pdf|Oral}} {{:en:publis:xu14_belief_presentation.pdf|Oral}}
 [[https://dx.doi.org/10.1007/978-3-319-11191-9_6|DOI]] [[https://dx.doi.org/10.1007/978-3-319-11191-9_6|DOI]]
 {{:en:publi:xu14_belief.bib|BibTeX}} {{:en:publi:xu14_belief.bib|BibTeX}}
 +
 +----
  
 ====== Combination of pedestrian detectors ====== ====== Combination of pedestrian detectors ======
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 == References == == 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**. **Multimodal Information Fusion for Urban Scene Understanding**.
-//Machine Vision and Applications (MVA)//, in Press, 2015.+//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**. **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. In //Proceedings of the Thirteenth IAPR International Conference on Machine Vision Applications (MVA)//, pages 189-193, Kyoto, Japan, May 20-23, 2013.
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 [[http://hal.archives-ouvertes.fr/hal-00932896|HAL]] [[http://hal.archives-ouvertes.fr/hal-00932896|HAL]]
  
----- 
- 
-====== KITTI moving object segmentation ground truth ====== 
-Coming soon... 

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