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Akademický článek

Validation of an Automated Body Condition Scoring System Using 3D Imaging

Autor: Niall O’ Leary, Lorenzo Leso, Frank Buckley, Jonathon Kenneally, Diarmuid McSweeney, Laurence Shalloo

Publikováno v: Agriculture, Vol 10, Iss 6, p 246 (2020)

Body condition scores (BCS) measure a cow’s fat reserves and is important for management and research. Manual BCS assessment is subjective, time-consuming, and requires trained personnel. The BodyMat F (BMF, Ingenera SA, Cureglia, Switzerland) is a

Externí odkaz: https://doaj.org/article/3d0260b8ff7342579558c3e1572096d1

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Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning

Autor: Mahony, Niall O', Campbell, Sean, Krpalkova, Lenka, Walsh, Joseph, Riordan, Daniel

Publikováno v: Sensors and Transducers ISSN 2306-8515 e-ISSN 1726-5479 vol 252 pp 50-57 2021

Fine-Grained Change Detection and Regression Analysis are essential in many applications of ArtificialIntelligence. In practice, this task is often challenging owing to the lack of reliable ground truth information andcomplexity arising from interact

Externí odkaz: http://arxiv.org/abs/2208.05800

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Understanding and Exploiting Dependent Variables with Deep Metric Learning

Autor: Mahony, Niall O', Campbell, Sean, Carvalho, Anderson, Krpalkova, Lenka, Velasco-Hernandez, Gustavo, Riordan, Daniel, Walsh, Joseph

Publikováno v: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1, B. R. Arai K., Kapoor S., Ed. Springer, Cham, 2020, pp. 97 to 113

Deep Metric Learning (DML) approaches learn to represent inputs to a lower-dimensional latent space such that the distance between representations in this space corresponds with a predefined notion of similarity. This paper investigates how the mappi

Externí odkaz: http://arxiv.org/abs/2009.03820

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Akademický článek

Tagging of Atlantic bluefin tuna off Ireland reveals use of distinct oceanographic hotspots

Autor: Pagniello, Camille M.L.S., Maoiléidigh, Niall Ó, Maxwell, Hugo, Castleton, Michael R., Aalto, Emilius A., Dale, Jonathan J., Schallert, Robert J., Stokesbury, Michael J.W., Cosgrove, Ronán, Dedman, Simon, Drumm, Alan, O'Neill, Ross, Block, Barbara A.

Publikováno v: In Progress in Oceanography December 2023 219

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Deep Learning vs. Traditional Computer Vision

Autor: Mahony, Niall O', Campbell, Sean, Carvalho, Anderson, Harapanahalli, Suman, Velasco-Hernandez, Gustavo, Krpalkova, Lenka, Riordan, Daniel, Walsh, Joseph

Publikováno v: in Advances in Computer Vision Proceedings of the 2019 Computer Vision Conference (CVC). Springer Nature Switzerland AG, pp. 128-144

Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the ri

Externí odkaz: http://arxiv.org/abs/1910.13796

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