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Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification.

Y. Cui, L. Chapel, and S. Lefèvre. Remote Sensing, 9 (3): 196 (2017)

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Dense Bag-of-Temporal-SIFT-Words for Time Series Classification.A. Bailly, S. Malinowski, R. Tavenard, L. Chapel, and T. Guyet. AALTD@PKDD/ECML (Revised Selected Papers), volume 9785 of Lecture Notes in Computer Science, page 17-30. Springer, (2015)Sparse input matrix and state estimation for linear systems.L. Chapel, and D. Leith. CDC, page 4441-4446. IEEE, (2010)PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification.L. Chapel, T. Burger, N. Courty, and S. Lefèvre. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (4): 1070-1078 (2014)Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon.A. Bailly, D. Arvor, L. Chapel, and R. Tavenard. IGARSS, page 2300-2303. IEEE, (2016)Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA.L. Chapel, and C. Friguet. ECML/PKDD (1), volume 8724 of Lecture Notes in Computer Science, page 227-241. Springer, (2014)A Subpath Kernel for Learning Hierarchical Image Representations.Y. Cui, L. Chapel, and S. Lefèvre. CoRR, (2016)Classwise hyperspectral image classification with PerTurbo method.L. Chapel, T. Burger, N. Courty, and S. Lefèvre. IGARSS, page 6883-6886. IEEE, (2012)POT: Python Optimal Transport.R. Flamary, N. Courty, A. Gramfort, M. Alaya, A. Boisbunon, S. Chambon, L. Chapel, A. Corenflos, K. Fatras, N. Fournier and 12 other author(s). J. Mach. Learn. Res., (2021)Optimal Transport for structured data with application on graphs.T. Vayer, N. Courty, R. Tavenard, L. Chapel, and R. Flamary. ICML, volume 97 of Proceedings of Machine Learning Research, page 6275-6284. PMLR, (2019)Probabilistic approaches to cheating detection in online games.L. Chapel, D. Botvich, and D. Malone. CIG, page 195-201. IEEE, (2010)

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Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification.

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Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification.