Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Asaki, Kataoka"'
Autor:
Kohei, Ichikawa, Asaki, Kataoka
Publikováno v:
Neural Computation. 34:804-827
Animals make efficient probabilistic inferences based on uncertain and noisy information from the outside environment. It is known that probabilistic population codes, which have been proposed as a neural basis for encoding probability distributions,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456e8e68aa7efcacf0fb5c47e08682c4
https://doi.org/10.1162/neco_a_01477
https://doi.org/10.1162/neco_a_01477
Autor:
Sanka Rasnayaka, Basilio Sierra, Ugur Demir, Arjan Kuijper, Mustafa Ekrem Erakin, Ana F. Sequeira, Fadi Boutros, Hazim Kemal Ekenel, Jie Zhang, Shizuma Kubo, Asaki Kataoka, Raghavendra Ramachandra, Joao Ribeiro Pinto, Dan Han, Pengcheng Fang, Shiguang Shan, Chao Zhang, Jaime S. Cardoso, Nuran Kasthuriarachchi, Naiara Aginako, Kiran B. Raja, Marcos Nieto, Pedro C. Neto, Kohei Ichikawa, Jan Niklas Kolf, Florian Kirchbuchner, Klemen Grm, Mingjie He, Fei Wang, Mohsen Saffari, Sachith Seneviratne, Vitomir Struc, David Montero, Naser Damer
Publikováno v:
IJCB
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted a total of 10 participating teams with valid submissions. The aff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec95812e3127f5d6be4adc150325d0ea
https://doi.org/10.1109/ijcb52358.2021.9484337
https://doi.org/10.1109/ijcb52358.2021.9484337