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A-contrario framework for detection of alterations in varnished surfaces.

, , , , and . J. Vis. Commun. Image Represent., (2022)

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Scalable Inference Algorithms for Determinantal Point Processes.. University of Washington, USA, (2020)One step clustering based on a-contrario framework for detection of alterations in historical violins., , , , and . ICPR, page 9348-9355. IEEE, (2020)Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes., , and . COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 103-115. JMLR.org, (2016)A Polynomial Time MCMC Method for Sampling from Continuous DPPs., and . CoRR, (2018)A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5438-5447. PMLR, (2019)Analysis of Multi-temporal Image Series for the Preventive Conservation of Varnished Wooden Surfaces., , , , and . ISVC (1), volume 13017 of Lecture Notes in Computer Science, page 166-179. Springer, (2021)A-contrario framework for detection of alterations in varnished surfaces., , , , and . J. Vis. Commun. Image Represent., (2022)A Tight Analysis of Bethe Approximation for Permanent., and . CoRR, (2018)Detection of alterations in historical violins with optical monitoring. (Détection des altérations des violons historiques par contrôle optique).. University of Paris-Saclay, France, (2022)Composable Core-sets for Determinant Maximization Problems via Spectral Spanners., , , and . SODA, page 1675-1694. SIAM, (2020)