Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nicolas Serrette"'
Autor:
Thomas Lampert, Pierre Gançarski, Baptiste Lafabregue, Nicolas Serrette, Thi-Bich-Hanh Dao, Christel Vrain
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (11), pp.4606-4621. ⟨10.1109/JSTARS.2019.2950406⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019, 12 (11), pp.4606-4621. ⟨10.1109/JSTARS.2019.2950406⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (11), pp.4606-4621. ⟨10.1109/JSTARS.2019.2950406⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019, 12 (11), pp.4606-4621. ⟨10.1109/JSTARS.2019.2950406⟩
International audience; The advent of high-resolution instruments for time-series sampling poses added complexity for the formal definition of thematic classes in the remote sensing domain-required by supervised methods-while unsupervised methods ign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e6ff36b54a7a1fca70aba9c247b7efa
https://doi.org/10.1109/jstars.2019.2950406
https://doi.org/10.1109/jstars.2019.2950406
Autor:
Germain Forestier, Christel Vrain, Nicolas Serrette, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Pierre Gançarski, Bruno Crémilleux, Thomas Lampert
Publikováno v:
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery, 2018, 32 (6), pp.1663-1707. ⟨10.1007/s10618-018-0573-y⟩
Data Mining and Knowledge Discovery, Springer, 2018, 32 (6), pp.1663-1707. ⟨10.1007/s10618-018-0573-y⟩
Data Mining and Knowledge Discovery, 2018, 32 (6), pp.1663-1707. ⟨10.1007/s10618-018-0573-y⟩
Data Mining and Knowledge Discovery, Springer, 2018, 32 (6), pp.1663-1707. ⟨10.1007/s10618-018-0573-y⟩
International audience; Constrained clustering is becoming an increasingly popular approach in data mining. It offers a balance between the complexity of producing a formal definition of thematic classes-required by supervised methods-and unsupervise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7daacee79c15b3142c0105e27f7b1e78
https://hal.science/hal-01831637/document
https://hal.science/hal-01831637/document
Autor:
Lampert, Thomas, Lafabregue, Baptiste, Dao, Thi-Bich-Hanh, Serrette, Nicolas, Vrain, Christel, Gancarski, Pierre
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Nov2019, Vol. 12 Issue 11, p4606-4621, 16p
Autor:
Lampert, Thomas, Dao, Thi-Bich-Hanh, Lafabregue, Baptiste, Serrette, Nicolas, Forestier, Germain, Crémilleux, Bruno, Vrain, Christel, Gançarski, Pierre
Publikováno v:
Data Mining & Knowledge Discovery; Nov2018, Vol. 32 Issue 6, p1663-1707, 45p