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Kernels for time series of exponential decay/growth processes., , and . MLSP, page 1-6. IEEE, (2012)Prediction of time series using Yule-Walker equations with kernels., , , , and . ICASSP, page 2185-2188. IEEE, (2012)Constrained reflect-then-combine methods for unmixing hyperspectral data., and . WHISPERS, page 1-4. IEEE, (2013)A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation., , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 158-167. PMLR, (2021)Performance Evaluation of State-of-the-Art Filtering Criteria Applied to SIFT Features., , , and . ISSPIT, page 1-6. IEEE, (2019)Méthodes à noyau pour l'analyse et la décision en environnement non-stationnaire. (Kernel Machines for analysis and decision-making in a non-stationary environment).. Ecole doctoral SSTO - UTT, Troyes, France, (2007)Diffusion strategies for in-network principal component analysis., , , , and . MLSP, page 1-6. IEEE, (2014)Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals., , , , , and . ICT, page 1-5. IEEE, (2012)Modeling electrocardiogram using Yule-Walker equations and kernel machines., , , , and . ICT, page 1-5. IEEE, (2012)A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex., and . IGARSS, page 2271-2274. IEEE, (2010)