Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Giovanni Minchio"'
Publikováno v:
Sensors, Vol 21, Iss 17, p 5809 (2021)
In this paper, we examine two strategies for boosting the performance of ensembles of Siamese networks (SNNs) for image classification using two loss functions (Triplet and Binary Cross Entropy) and two methods for building the dissimilarity spaces (
Externí odkaz:
https://doaj.org/article/31257fc1062540cdb3d7b1ce2a491c24
Publikováno v:
Sensors, Vol 21, Iss 5, p 1573 (2021)
Traditionally, classifiers are trained to predict patterns within a feature space. The image classification system presented here trains classifiers to predict patterns within a vector space by combining the dissimilarity spaces generated by a large
Externí odkaz:
https://doaj.org/article/ffbc5de86b244e8b81b6ecaf8310a614
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5809, p 5809 (2021)
Sensors; Volume 21; Issue 17; Pages: 5809
Sensors, Vol 21, Iss 5809, p 5809 (2021)
Sensors; Volume 21; Issue 17; Pages: 5809
In this paper, we examine two strategies for boosting the performance of ensembles of Siamese networks (SNNs) for image classification using two loss functions (Triplet and Binary Cross Entropy) and two methods for building the dissimilarity spaces (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01a87828d3144215768f0919e0b0dd74
Publikováno v:
SSRN Electronic Journal.
Background: Characterizing the behavioural risk profile of the immigrant population is needed to prioritize actions for prevention and health services organization. We therefore analysed health behaviours and their determinants among immigrants in It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9582bbeba45d1b72afbf6ae16469c2a
https://doi.org/10.2139/ssrn.3934238
https://doi.org/10.2139/ssrn.3934238