Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yuval Haitman"'
Publikováno v:
IEEE Transactions on Signal Processing. 69:4162-4176
Consider the set of possible observations turned out by geometric and radiometric transformations of an object. This set is generally a manifold in the ambient space of observations. It has been shown [1] that in those cases where the geometric defor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf29ad7c864566538b0f02c9501b32c3
https://doi.org/10.1109/tsp.2021.3095723
https://doi.org/10.1109/tsp.2021.3095723
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26e7718d1ce7d57ce6ac08383ec97fc7
https://doi.org/10.1109/icassp43922.2022.9747075
https://doi.org/10.1109/icassp43922.2022.9747075
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8608e7c671faa2680e48459cb53db93e
https://doi.org/10.1109/iccvw54120.2021.00468
https://doi.org/10.1109/iccvw54120.2021.00468
Autor:
Dan G. Blumberg, Shiran Havivi, Yuval Haitman, Stanley R. Rotman, Shimrit Maman, Itay Berkovich
Publikováno v:
2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).
One of most common algorithms for anomaly detection in multi-dimensional imagery is the Reed - Xiaoli (RX) algorithm; it gives each pixel a score that defines its likelihood to be an anomaly. We have implemented a new algorithm which uses both RX and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d090b90e8aba9e3aadc730028da0bd4
https://doi.org/10.1109/comcas44984.2019.8958073
https://doi.org/10.1109/comcas44984.2019.8958073