Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Akinori F Ebihara"'
Autor:
Meredith N Schmehl, Valeria C Caruso, Yunran Chen, Na Young Jun, Shawn M Willett, Jeff T Mohl, Douglas A Ruff, Marlene Cohen, Akinori F Ebihara, Winrich A Freiwald, Surya T Tokdar, Jennifer M Groh
Publikováno v:
eLife, Vol 13 (2024)
How neural representations preserve information about multiple stimuli is mysterious. Because tuning of individual neurons is coarse (e.g., visual receptive field diameters can exceed perceptual resolution), the populations of neurons potentially res
Externí odkaz:
https://doaj.org/article/539355a135764734b0515ad3495f5abc
Autor:
Valeria C. Caruso, Jeff T. Mohl, Christopher Glynn, Jungah Lee, Shawn M. Willett, Azeem Zaman, Akinori F. Ebihara, Rolando Estrada, Winrich A. Freiwald, Surya T. Tokdar, Jennifer M. Groh
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
The neural mechanisms through which neurons represent simultaneously presented stimuli are not well understood. Here the authors demonstrate that the two stimuli are alternately encoded through fluctuations in the activity patterns of single neurons.
Externí odkaz:
https://doaj.org/article/a6d99ceb52a94256ad330919d3864eab
Theoretically-inspired sequential density ratio estimation (SDRE) algorithms are proposed for the early classification of time series. Conventional SDRE algorithms can fail to estimate DRs precisely due to the internal overnormalization problem, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c9b0462255f4c92690f20003434b25
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 3:535-549
In light of the rising demand for biometric-authentication systems, preventing face spoofing attacks is a critical issue for the safe deployment of face recognition systems. Here, we propose an efficient face presentation attack detection (PAD) algor
Publikováno v:
IJCB
Face recognition for visible light (VIS) images achieve high accuracy thanks to the recent development of deep learning. However, heterogeneous face recognition (HFR), which is a face matching in different domains, is still a difficult task due to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0c1f94eacc58c78efc472bae8539f07
http://arxiv.org/abs/2204.11434
http://arxiv.org/abs/2204.11434
Autor:
Koichi Takahashi, Akihiro Hayasaka, Kazuyuki Sakurai, Jianquan Liu, Yusuke Morishita, Akinori F. Ebihara, Hiroshi Hashimoto, Hitoshi Imaoka
Publikováno v:
APSIPA Transactions on Signal and Information Processing. 10
Biometric recognition technologies have become more important in the modern society due to their convenience with the recent informatization and the dissemination of network services. Among such technologies, face recognition is one of the most conve
Publikováno v:
IJCB
In light of the rising demand for biometric-authentication systems, preventing face spoofing attacks is a critical issue for the safe deployment of face recognition systems. Here, we propose an efficient face presentation attack detection (PAD) algor
Autor:
Jennifer M. Groh, Valeria C. Caruso, Shawn M. Willett, Surya T. Tokdar, Rolando Estrada, Akinori F. Ebihara, Winrich A. Freiwald, Jeff T. Mohl, Chris Glynn, Jungah Lee, Azeem Zaman
How the brain preserves information about multiple simultaneous items is poorly understood. We report that single neurons can represent multiple different stimuli by interleaving different signals across time. We record single units in an auditory re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb567eca16406f7f95202e21b0b54ddf
https://doi.org/10.1101/107185
https://doi.org/10.1101/107185