Nearest neighbor pattern classification Information Theory, IEEE Transactions on, vol.13, issue.1, pp.21-27, 1967. ,
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.6, pp.1395-1406, 2006. ,
DOI : 10.1109/TSMCB.2006.877795
The Distance-Weighted k-Nearest-Neighbor Rule, IEEE Transactions on Systems, Man, and Cybernetics, vol.6, issue.4, pp.325-327, 1976. ,
DOI : 10.1109/TSMC.1976.5408784
A mathematical theory of evidence, 1976. ,
On the dempster-shafer framework and new combination rules, Information Sciences, vol.41, issue.2, pp.93-137, 1987. ,
DOI : 10.1016/0020-0255(87)90007-7
Representation and combination of uncertainty with belief functions and possibility measures, Computational Intelligence, vol.5, issue.1, pp.244-264, 1988. ,
DOI : 10.1016/0165-0114(78)90029-5
The transferable belief model, Artificial Intelligence, vol.66, issue.2, pp.191-234, 1994. ,
DOI : 10.1016/0004-3702(94)90026-4
URL : https://hal.archives-ouvertes.fr/hal-01185821
Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue.1, pp.119-130, 2013. ,
DOI : 10.1109/TKDE.2011.201
URL : https://hal.archives-ouvertes.fr/hal-00804343
Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions, IEEE Transactions on Fuzzy Systems, vol.22, issue.2, pp.1-12, 2013. ,
DOI : 10.1109/TFUZZ.2013.2259496
URL : https://hal.archives-ouvertes.fr/hal-00834177
Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework, International Journal of Approximate Reasoning, vol.54, issue.8, pp.1217-1242, 2013. ,
DOI : 10.1016/j.ijar.2013.02.008
EVCLUS: Evidential Clustering of Proximity Data, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.1, pp.95-109, 2004. ,
DOI : 10.1109/TSMCB.2002.806496
ECM: An evidential version of the fuzzy c-means algorithm, Pattern Recognition, vol.41, issue.4, pp.1384-1397, 2008. ,
DOI : 10.1016/j.patcog.2007.08.014
Introducing spatial neighbourhood in Evidential C-Means for segmentation of multi-source images: Application to prostate multi-parametric MRI, Information Fusion, vol.19, pp.61-72, 2014. ,
DOI : 10.1016/j.inffus.2012.04.002
URL : https://hal.archives-ouvertes.fr/hal-00818212
A k-nearest neighbor classification rule based on Dempster-Shafer theory, IEEE Transactions on Systems, Man, and Cybernetics, vol.25, issue.5, pp.804-813, 1995. ,
DOI : 10.1109/21.376493
An evidence-theoretic k-NN rule with parameter optimization, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.28, issue.2, pp.263-271, 1998. ,
DOI : 10.1109/5326.669565
A neural network classifier based on Dempster-Shafer theory, " Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol.30, issue.2, pp.131-150, 2000. ,
Belief decision trees: theoretical foundations, International Journal of Approximate Reasoning, vol.28, issue.2-3, pp.91-124, 2001. ,
DOI : 10.1016/S0888-613X(01)00045-7
URL : http://doi.org/10.1016/s0888-613x(01)00045-7
A new belief-based K-nearest neighbor classification method, Pattern Recognition, vol.46, issue.3, pp.834-844, 2013. ,
DOI : 10.1016/j.patcog.2012.10.001
Credal classification rule for uncertain data based on belief functions, Pattern Recognition, vol.47, issue.7, pp.2532-2541, 2014. ,
DOI : 10.1016/j.patcog.2014.01.011
URL : https://hal.archives-ouvertes.fr/hal-01060091
A New Incomplete Pattern Classification Method Based on Evidential Reasoning, IEEE Transactions on Cybernetics, vol.45, issue.4, pp.635-646, 2015. ,
DOI : 10.1109/TCYB.2014.2332037
URL : https://hal.archives-ouvertes.fr/hal-01162207
An evidential classifier based on feature selection and two-step classification strategy, Pattern Recognition, vol.48, issue.7, pp.2318-2327, 2015. ,
DOI : 10.1016/j.patcog.2015.01.019
URL : https://hal.archives-ouvertes.fr/hal-01294268
Belief rule-based classification system: Extension of FRBCS in belief functions framework, Information Sciences, vol.309, pp.26-49, 2015. ,
DOI : 10.1016/j.ins.2015.03.005
URL : https://hal.archives-ouvertes.fr/hal-01141281
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation, Applied Soft Computing, vol.7, issue.3, pp.1072-1083, 2007. ,
DOI : 10.1016/j.asoc.2006.10.002
The combination of multiple classifiers using an evidential reasoning approach, Artificial Intelligence, vol.172, issue.15, pp.1731-1751, 2008. ,
DOI : 10.1016/j.artint.2008.06.002
Sensor fusion in anti-personnel mine detection using a two-level belief function model, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.33, issue.2, pp.269-283, 2003. ,
DOI : 10.1109/TSMCC.2003.814034
Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.1, pp.782-787, 2004. ,
DOI : 10.1109/TSMCB.2003.817056
Possibilistic Information Fusion Using Maximal Coherent Subsets, IEEE Transactions on Fuzzy Systems, vol.17, issue.1, pp.79-92, 2009. ,
DOI : 10.1109/TFUZZ.2008.2005731
URL : https://hal.archives-ouvertes.fr/irsn-00196483
Set Measure Directed Multi-Source Information Fusion, IEEE Transactions on Fuzzy Systems, vol.19, issue.6, pp.1031-1039, 2011. ,
DOI : 10.1109/TFUZZ.2011.2159725
Fusion of multi-tracer PET images for dose painting, Medical Image Analysis, vol.18, issue.7, pp.1247-1259, 2014. ,
DOI : 10.1016/j.media.2014.06.014
URL : https://hal.archives-ouvertes.fr/hal-01127787
Analysis of evidence-theoretic decision rules for pattern classification, Pattern Recognition, vol.30, issue.7, pp.1095-1107, 1997. ,
DOI : 10.1016/S0031-3203(96)00137-9
Distance metric learning: A comprehensive survey, 2006. ,
Similarity Metric Learning for a Variable-Kernel Classifier, Neural Computation, vol.4, issue.1, pp.72-85, 1995. ,
DOI : 10.1016/0893-6080(90)90027-I
Distance metric learning with application to clustering with side-information, Advances in Neural Information Processing Systems, pp.505-512, 2002. ,
A Kernel Approach for Semisupervised Metric Learning, IEEE Transactions on Neural Networks, vol.18, issue.1, pp.141-149, 2007. ,
DOI : 10.1109/TNN.2006.883723
Informationtheoretic metric learning, Proceedings of the 24th International Conference on Machine Learning, pp.209-216, 2007. ,
Constrained empirical risk minimization framework for distance metric learning, Neural Networks and Learning Systems, pp.1194-1205, 2012. ,
Non-linear metric learning, Advances in Neural Information Processing Systems, pp.2573-2581, 2012. ,
Neighbourhood components analysis, Advances in Neural Information Processing Systems, pp.513-520, 2005. ,
Online and batch learning of pseudo-metrics, Twenty-first international conference on Machine learning , ICML '04, pp.94-101, 2004. ,
DOI : 10.1145/1015330.1015376
Distance metric learning for large margin nearest neighbor classification, The Journal of Machine Learning Research, vol.10, pp.207-244, 2009. ,
Multi-task feature learning, Advances in Neural Information Processing Systems, pp.41-48, 2010. ,
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection, IEEE Transactions on Neural Networks and Learning Systems, vol.23, issue.11, pp.1738-1754, 2012. ,
DOI : 10.1109/TNNLS.2012.2212721
Semisupervised feature selection via spline regression for video semantic recognition, Neural Networks and Learning Systems IEEE Transactions on, vol.26, issue.2, pp.252-264, 2015. ,
Proximal Splitting Methods in Signal Processing, Fixed-point Algorithms for Inverse Problems in Science and Engineering, pp.185-212, 2011. ,
DOI : 10.1007/978-1-4419-9569-8_10
URL : https://hal.archives-ouvertes.fr/hal-00643807
The combination of evidence in the transferable belief model Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.12, issue.5, pp.447-458, 1990. ,
Combining belief functions when evidence conflicts, Decision Support Systems, vol.29, issue.1, pp.1-9, 2000. ,
DOI : 10.1016/S0167-9236(99)00084-6
Combination of sources of evidence with different discounting factors based on a new dissimilarity measure, Decision Support Systems, vol.52, issue.1, pp.133-141, 2011. ,
DOI : 10.1016/j.dss.2011.06.002
Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence, Artificial Intelligence, vol.172, issue.2-3, pp.234-264, 2008. ,
DOI : 10.1016/j.artint.2007.05.008
Dynamic evidential reasoning for change detection in remote sensing images, Geoscience and Remote Sensing, pp.1955-1967, 2012. ,
DOI : 10.1109/TGRS.2011.2169075
A Generalized Forward-Backward Splitting, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1199-1226, 2013. ,
DOI : 10.1137/120872802
URL : https://hal.archives-ouvertes.fr/hal-00613637
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
Use of the zero norm with linear models and kernel methods, The Journal of Machine Learning Research, vol.3, pp.1439-1461, 2003. ,
Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.22, issue.1, pp.181-190, 2014. ,
DOI : 10.1109/TNSRE.2013.2293575