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Hao Liang, Pietro Perona, Guha Balakrishnan: Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. ICCV 2023: 4954-4964. [c196] Julio Arroyo, Pietro Perona, Elijah Cole: Understanding Label Bias in Single Positive Multi-Label Learning.
Polito and Perona in [7]). This approach, however, lacks a theoretical justification. The eigenvalues of Lare the union of the eigenvalues of the sub-matrices corresponding to each cluster. This implies the eigenvalues depend on the structure of the individual clusters and thus no assumptions can be placed on their values.
12 de jun. de 2019 · Presence-Only Geographical Priors for Fine-Grained Image Classification. Appearance information alone is often not sufficient to accurately differentiate between fine-grained visual categories. Human experts make use of additional cues such as where, and when, a given image was taken in order to inform their final decision.
Pietro Perona. Principal Investigator. Alumni. PhDs. Elijah Cole (2023) Jennifer J. Sun (2023) Sara Beery (2022) Tony (Haoyu) Zhang (2021) Serim Ryou (2020) Joseph ...
4 de dez. de 2020 · Pietro Perona, Allen E. Puckett Professor of Electrical Engineering, has been elevated as a fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to visual recognition algorithms and datasets. The IEEE Fellow is one of the most prestigious honors of the IEEE, and is bestowed upon a very limited number of Senior Members who have contributed importantly to the ...
7 de dez. de 2014 · Visual Causal Feature Learning. Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt. We provide a rigorous definition of the visual cause of a behavior that is broadly applicable to the visually driven behavior in humans, animals, neurons, robots and other perceiving systems. Our framework generalizes standard accounts of causal learning to ...
Esperienza: Koodit · Località: Biella · Più di 500 collegamenti su LinkedIn. Vedi il profilo di Pietro Perona su LinkedIn, una community professionale di 1 miliardo di utenti.
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