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pro vyhledávání: '"Mathieu, Pierre P."'
Earth observation is fundamental for a range of human activities including flood response as it offers vital information to decision makers. Semantic segmentation plays a key role in mapping the raw hyper-spectral data coming from the satellites into
Externí odkaz:
http://arxiv.org/abs/2210.12820
Autor:
Marszalek, Michael L., Saux, Bertrand Le, Mathieu, Pierre-Philippe, Nowakowski, Artur, Springer, Daniel
Machine learning, satellites or local sensors are key factors for a sustainable and resource-saving optimisation of agriculture and proved its values for the management of agricultural land. Up to now, the main focus was on the enlargement of data wh
Externí odkaz:
http://arxiv.org/abs/2204.02100
Let $(X,d)$ be a geodesic Gromov-hyperbolic space, $o \in X$ a basepoint and $\mu$ a countably supported non-elementary probability measure on $\operatorname{Isom}(X)$. Denote by $z_n$ the random walk on $X$ driven by the probability measure $\mu$. S
Externí odkaz:
http://arxiv.org/abs/2112.14724
Autor:
Del Rosso, Maria Pia, Sebastianelli, Alessandro, Spiller, Dario, Mathieu, Pierre Philippe, Ullo, Silvia Liberata
In recent years, the growth of Machine Learning (ML) algorithms has raised the number of studies including their applicability in a variety of different scenarios. Among all, one of the hardest ones is the aerospace, due to its peculiar physical requ
Externí odkaz:
http://arxiv.org/abs/2106.15281
Autor:
Sebastianelli, Alessandro, Nowakowski, Artur, Puglisi, Erika, Del Rosso, Maria Pia, Mifdal, Jamila, Pirri, Fiora, Mathieu, Pierre Philippe, Ullo, Silvia Liberata
Cloud removal is a relevant topic in Remote Sensing as it fosters the usability of high-resolution optical images for Earth monitoring and study. Related techniques have been analyzed for years with a progressively clearer view of the appropriate met
Externí odkaz:
http://arxiv.org/abs/2106.12226
Autor:
Sebastianelli, Alessandro, Del Rosso, Maria Pia, Mathieu, Pierre Philippe, Ullo, Silvia Liberata
Data fusion is a well-known technique, becoming more and more popular in the Artificial Intelligence for Earth Observation (AI4EO) domain mainly due to its ability of reinforcing AI4EO applications by combining multiple data sources and thus bringing
Externí odkaz:
http://arxiv.org/abs/2106.11056
Let $\Gamma$ be a countable group acting on a geodesic Gromov-hyperbolic metric space $X$ and $\mu$ a probability measure on $\Gamma$ whose support generates a non-elementary subsemigroup. Under the assumption that $\mu$ has a finite exponential mome
Externí odkaz:
http://arxiv.org/abs/2008.02709
Autor:
Boulanger, Adrien, Mathieu, Pierre
Let $\Gamma$ be a countable group acting on a geodesic hyperbolic metric space $X$ and $\mu$ a probability measure on $\Gamma$ which generates a non elementary semi-group. Under the necessary assumption that $\mu$ has a finite exponential moment, we
Externí odkaz:
http://arxiv.org/abs/2004.14277
Akademický článek
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Autor:
Alarie-Vezina, Ludovic, Blondeau-Fournier, Olivier, Desrosiers, Patrick, Lapointe, Luc, Mathieu, Pierre
We present a review of the most important results in the theory of symmetric functions in superspace (or symmetric superpolynomials), summarizing all principal contributions since its introduction in 2001 in the context of the supersymmetric Calogero
Externí odkaz:
http://arxiv.org/abs/1903.07777