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pro vyhledávání: '"Curto J"'
In this work we investigate the use of the Signature Transform in the context of Learning. Under this assumption, we advance a supervised framework that potentially provides state-of-the-art classification accuracy with the use of few labels without
Externí odkaz:
http://arxiv.org/abs/2204.07953
The heliophysics catalogues published by the Ebro Observatory during 1910--1937 have been converted into a digital format in order to provide the data for computational processing. This has allowed us to study in detail the North-South (N-S) asymmetr
Externí odkaz:
http://arxiv.org/abs/2202.08628
Autor:
de Curtó, J., Duvall, R.
We introduce a new real-time pipeline for Simultaneous Localization and Mapping (SLAM) and Visual Inertial Odometry (VIO) in the context of planetary rovers. We leverage prior information of the location of the lander to propose an object-level SLAM
Externí odkaz:
http://arxiv.org/abs/2011.15104
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4
Autor:
de Curtó, J., Duvall, R.
Generative Adversarial Networks (GANs) have had tremendous applications in Computer Vision. Yet, in the context of space science and planetary exploration the door is open for major advances. We introduce tools to handle planetary data from the missi
Externí odkaz:
http://arxiv.org/abs/2011.11627
Dr. of Crosswise proposes a new architecture to reduce over-parametrization in Neural Networks. It introduces an operand for rapid computation in the framework of Deep Learning that leverages learned weights. The formalism is described in detail prov
Externí odkaz:
http://arxiv.org/abs/1905.10324
Publikováno v:
In Procedia Computer Science 2023 225:144-154
Publikováno v:
In Procedia Computer Science 2023 225:1661-1671
Publikováno v:
In Procedia Computer Science 2023 225:553-563
Akademický článek
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Publikováno v:
In Intelligent Systems with Applications November 2022 16