Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Terrance E. Boult"'
Publikováno v:
IEEE Access, Vol 12, Pp 55784-55799 (2024)
In real-world applications, face recognition, and person re-identification are subject to image degradations such as motion blur, atmospheric turbulence, or upsampling artifacts—which are known to lower performance. This work directly addresses cha
Externí odkaz:
https://doaj.org/article/ed0716672a7141dca638627df9b296d8
Autor:
Terrance E. Boult, Nicolas M. Windesheim, Steven Zhou, Christopher Pereyda, Lawrence B. Holder
Publikováno v:
Algorithms, Vol 15, Iss 10, p 381 (2022)
Algorithms for automated novelty detection and management are of growing interest but must address the inherent uncertainty from variations in non-novel environments while detecting the changes from the novelty. This paper expands on a recent unified
Externí odkaz:
https://doaj.org/article/da1bc3063883406ab24f23ce048c163c
Autor:
Chunchun Li, Manuel Günther, Akshay Raj Dhamija, Steve Cruz, Mohsen Jafarzadeh, Touqeer Ahmad, Terrance E. Boult
Publikováno v:
Algorithms, Vol 15, Iss 5, p 170 (2022)
Clustering is a critical part of many tasks and, in most applications, the number of clusters in the data are unknown and must be estimated. This paper presents an Extreme Value Theory-based approach to threshold selection for clustering, proving tha
Externí odkaz:
https://doaj.org/article/830af94bda1949f99734ee393493b86e
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:3785-3798
Often, when dealing with real-world recognition problems, we do not need, and often cannot have, knowledge of the entire set of possible classes that might appear during operational testing. In such cases, we need to think of robust classification me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db7e721b8856fc35d269682cc09cc2e6
https://doi.org/10.1109/tsmc.2021.3074496
https://doi.org/10.1109/tsmc.2021.3074496
Autor:
Wes Robbins, Steven Zhou, Aman Bhatta, Chad Mello, Vitor Albiero, Kevin W. Bowyer, Terrance E. Boult
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::473a90786abc4823277bf9bf310ba0d4
https://doi.org/10.1109/wacv56688.2023.00098
https://doi.org/10.1109/wacv56688.2023.00098
Autor:
Touqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5583ccb15bb245bd7cf7d83a3c0e837b
https://doi.org/10.1109/cvprw56347.2022.00413
https://doi.org/10.1109/cvprw56347.2022.00413
Autor:
Touqeer Ahmad, Akshay Raj Dhamija, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, Terrance E. Boult
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e080ce8b6b1d2320da82f6b3cf4dc430
https://doi.org/10.1109/cvprw56347.2022.00435
https://doi.org/10.1109/cvprw56347.2022.00435
Publikováno v:
2022 IEEE PES Transactive Energy Systems Conference (TESC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f0d72290f777d295564d9deee908ef
https://doi.org/10.1109/tesc53336.2022.9917264
https://doi.org/10.1109/tesc53336.2022.9917264
Autor:
Terrance E. Boult, Yanyan Zhuang
Publikováno v:
ICHI
COVID19 has challenged the current day’s medical testing capability. Pooled testing is an effective approach that can increase scale with limited resources and reduce the overall costs considerably. Current pooled testing techniques usually make th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::454bf8ad47aa8d8caef188a5ba538b19
https://doi.org/10.1109/ichi52183.2021.00045
https://doi.org/10.1109/ichi52183.2021.00045
Autor:
Manuel Günther, Walter J. Scheirer, Akshay Raj Dhamija, Terrance E. Boult, James Henrydoss, Steve Cruz
Publikováno v:
AAAI
As science attempts to close the gap between man and machine by building systems capable of learning, we must embrace the importance of the unknown. The ability to differentiate between known and unknown can be considered a critical element of any in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119d5de5d16cf980571a0e5c7350522a
https://doi.org/10.1609/aaai.v33i01.33019801
https://doi.org/10.1609/aaai.v33i01.33019801