Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ziga Emersic"'
Publikováno v:
IET Biometrics, Vol 12, Iss 2, Pp 77-90 (2023)
Abstract Ear images have been shown to be a reliable modality for biometric recognition with desirable characteristics, such as high universality, distinctiveness, measurability and permanence. While a considerable amount of research has been directe
Externí odkaz:
https://doaj.org/article/9e56a5eac85b44dfae3ae810585f097f
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10965 (2023)
The study investigates the task of authorship attribution on short texts in Slovenian using the BERT language model. Authorship attribution is the task of attributing a written text to its author, frequently using stylometry or computational techniqu
Externí odkaz:
https://doaj.org/article/7608638ee2e14dcf949e6581356c8ee0
Publikováno v:
Entropy, Vol 20, Iss 1, p 60 (2018)
Image and video data are today being shared between government entities and other relevant stakeholders on a regular basis and require careful handling of the personal information contained therein. A popular approach to ensure privacy protection in
Externí odkaz:
https://doaj.org/article/6f9ff4649f7946808e634a0f17d0fcf8
Publikováno v:
IEEE Access, Vol 9, Pp 145175-145190 (2021)
Ear detection represents one of the key components of contemporary ear recognition systems. While significant progress has been made in the area of ear detection over recent years, most of the improvements are direct results of advances in the field
Externí odkaz:
https://doaj.org/article/7060491169874aff8e421e17ea0d5eab
Publikováno v:
Computer Science and Information Systems. 19:1177-1198
Crowd counting has a range of applications and it is an important task that can help with the accident prevention such as crowd crushes and stampedes in political protests, concerts, sports, and other social events. Many crown counting approaches hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b0fbff6c22dbd1f5f187bebfe809b72
https://doi.org/10.2298/csis210925023t
https://doi.org/10.2298/csis210925023t
Publikováno v:
2022 International Workshop on Biometrics and Forensics (IWBF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd6e76c0bfd18f768e8d3ceacbaae1b3
https://doi.org/10.1109/iwbf55382.2022.9794555
https://doi.org/10.1109/iwbf55382.2022.9794555
Autor:
Indranil Balki, Dehan Kong, Afsaneh Amirabadi, Anne L. Martel, Pascal N. Tyrrell, Alan R. Moody, Jacob Levman, Ziga Emersic, Saúl Calderón Ramírez, Blaz Meden, Angel Garcia-Pedrero
Publikováno v:
Canadian Association of Radiologists Journal. 70:344-353
Purpose The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e289c3e95b5f5e512b5d76ef4357e6f
https://doi.org/10.1016/j.carj.2019.06.002
https://doi.org/10.1016/j.carj.2019.06.002
Publikováno v:
ICTC
UWB-based positioning systems have been proven to provide a significant high level of ac-curacy hence offering a huge potential for a variety of indoor applications. However, the major challenges related to UWB localization are multipath effects, exc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::783bf17a2f01adf0f3ebdb51bb29eaac
https://doi.org/10.1109/ictc49870.2020.9289338
https://doi.org/10.1109/ictc49870.2020.9289338
Publikováno v:
MIPRO
In the field of keystroke biometrics, many systems have been developed using more traditional approaches and evaluated based on their accuracies. However, with the rise in popularity of neural networks, the research in the recent years focuses mainly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115c549d08efaf0cfbac997da09f8ff5
https://doi.org/10.23919/mipro48935.2020.9245313
https://doi.org/10.23919/mipro48935.2020.9245313