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en:data [2015/06/02 16:26] – [Evidential Multiclass Classifier Calibration] xuphilipen:data [2016/11/05 04:38] – xuphilip
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-====== Evidential Multiclass Classifier Calibration ======+====== Grand Cooperative Driving Challenge ====== 
 + 
 +We provide the C++ code as well as the data recorded during our participation in the GCDC 2016. 
 + 
 +The code has been developped within the [[https://devel.hds.utc.fr/software/pacpus|PACPUS]] open-source framework. 
 + 
 +== Download == 
 +^ Component ^  Link  ^ 
 +^ Localisation | {{:en:codes:GCDC_localisation.zip|}} | 
 +^ Perception | {{:en:codes:GCDC_perception.zip|}} | 
 +^ Control | {{:en:codes:GCDC_control.zip|}} | 
 +^ Communication | {{:en:codes:GCDC_communication.zip|}} | 
 +^ Supervisor | {{:en:codes:GCDC_supervisor.zip|}} | 
 + 
 +^ Data ^  Heat 1  ^  Heat 3  ^  Heat 5  ^ 
 +^ Localization | {{:en:codes:GCDC_data_heat1_localisation.zip|}} | {{:en:codes:GCDC_data_heat3_localisation.zip|}} | {{:en:codes:GCDC_data_heat5_localisation.zip|}} | 
 +^ Perception | {{:en:codes:GCDC_data_heat1_perception.zip|}} | {{:en:codes:GCDC_data_heat3_perception.zip|}} | {{:en:codes:GCDC_data_heat5_perception.zip|}} | 
 +^ Communication | {{:en:codes:GCDC_data_heat1_communication.zip|}} | {{:en:codes:GCDC_data_heat3_communication.zip|}} | {{:en:codes:GCDC_data_heat5_communication.zip|}} | 
 + 
 +====== Evidential Calibration ======
  
 We provide the MATLAB® code for our evidential multiclass classifier calibration method. We provide the MATLAB® code for our evidential multiclass classifier calibration method.
-  * calibTrain:  train the calibration model given some validation data +  * calibTrain.m:  train the calibration model given some validation data 
-  * score2prob:  transform a vector of scores into probabilities +  * score2prob.m:  transform a vector of scores into probabilities 
-  * score2plaus: transform a vector of scores into plausibilities over singletons+  * score2plaus.m: transform a vector of scores into plausibilities over singletons
  
 == Download == == Download ==
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 == References == == References ==
-**__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//, Washington, D.C., July 6-9, 2015.\\ 
-{{:en:publis:xu15_fusion_evidential_multimodal_logistic_regression_for_multiclass_classifier_calibration.pdf|Paper}} 
  
-====== Evidential calibration of binary classifiers ====== 
-Coming soon... 
- 
-== 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.
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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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