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pro vyhledávání: '"Olague, Matthieu"'
Low-light image enhancement remains an open problem, and the new wave of artificial intelligence is at the center of this problem. This work describes the use of genetic algorithms for optimizing analytical models that can improve the visualization o
Externí odkaz:
http://arxiv.org/abs/2412.07659
Autor:
Olague, Gustavo, Pineda, Roberto, Ibarra-Vazquez, Gerardo, Olague, Matthieu, Martinez, Axel, Bakshi, Sambit, Vargas, Jonathan, Reducindo, Isnardo
Machine learning is at the center of mainstream technology and outperforms classical approaches to handcrafted feature design. Aside from its learning process for artificial feature extraction, it has an end-to-end paradigm from input to output, reac
Externí odkaz:
http://arxiv.org/abs/2309.05900
Autor:
Olague, Gustavo, Menendez-Clavijo, Jose Armando, Olague, Matthieu, Ocampo, Arturo, Ibarra-Vazquez, Gerardo, Ochoa, Rocio, Pineda, Roberto
Despite recent improvements in computer vision, artificial visual systems' design is still daunting since an explanation of visual computing algorithms remains elusive. Salient object detection is one problem that is still open due to the difficulty
Externí odkaz:
http://arxiv.org/abs/2204.03722
Publikováno v:
In Data in Brief December 2024 57
