Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Andrea Gasparetto"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 7, Iss , Pp 44-57 (2023)
Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all, safety. An important factor that determines fruit quality is
Externí odkaz:
https://doaj.org/article/c5632314950a440599ad04d58b7c510b
Publikováno v:
IEEE Access, Vol 10, Pp 86578-86623 (2022)
Research on recommendation systems is swiftly producing an abundance of novel methods, constantly challenging the current state-of-the-art. Inspired by advancements in many related fields, like Natural Language Processing and Computer Vision, many hy
Externí odkaz:
https://doaj.org/article/feac5f2c944146199b9365a578c2382e
Autor:
Mara Pistellato, Filippo Bergamasco, Gianluca Bigaglia, Andrea Gasparetto, Andrea Albarelli, Marco Boschetti, Roberto Passerone
Publikováno v:
Sensors, Vol 23, Iss 10, p 4667 (2023)
Over the past few years, several applications have been extensively exploiting the advantages of deep learning, in particular when using convolutional neural networks (CNNs). The intrinsic flexibility of such models makes them widely adopted in a var
Externí odkaz:
https://doaj.org/article/42a4e4b1a0c9408eb6eb3cdc2fc0cf1b
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0270904 (2022)
Text Classification methods have been improving at an unparalleled speed in the last decade thanks to the success brought about by deep learning. Historically, state-of-the-art approaches have been developed for and benchmarked against English datase
Externí odkaz:
https://doaj.org/article/0e1aef4d4ad24cc6a4f1ceecfb88a3ca
Publikováno v:
Information, Vol 13, Iss 2, p 83 (2022)
In recent years, the exponential growth of digital documents has been met by rapid progress in text classification techniques. Newly proposed machine learning algorithms leverage the latest advancements in deep learning methods, allowing for the auto
Externí odkaz:
https://doaj.org/article/649eb6b7224d4dd7ad8718607cf363fe
In recent years, the exponential growth of digital documents has been met by rapid progress in text classification techniques. Newly proposed machine learning algorithms leverage the latest advancements in deep learning methods, allowing for the auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19b51860268855d7b14da78842e595f9
https://hdl.handle.net/10278/5017704
https://hdl.handle.net/10278/5017704
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030739720
S+SSPR
S+SSPR
We propose a new fast fully unsupervised method to discover semantic patterns. Our algorithm is able to hierarchically find visual categories and produce a segmentation mask where previous methods fail. Through the modeling of what is a visual patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85f393235d3b506296952c143d22ff29
https://doi.org/10.1007/978-3-030-73973-7_26
https://doi.org/10.1007/978-3-030-73973-7_26
Autor:
Mara Pistellato, Luca Cosmo, Andrea Torsello, Andrea Gasparetto, Andrea Albarelli, Filippo Bergamasco
Structured light scanning works by projecting over the scene a supplement of controlled information: the captured signal is processed to provide a unique label (namely a code) for each observed point, and then proceed to geometrical triangulation. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0446c5fc9dce0fbd62123e08fe43262
http://hdl.handle.net/10278/3715772
http://hdl.handle.net/10278/3715772
Autor:
Mara Pistellato, Luca Cosmo, Andrea Torsello, Filippo Bergamasco, Andrea Albarelli, Andrea Gasparetto
Publikováno v:
ICPRAM
Phase-shift is one of the most effective techniques in 3D structured-light scanning for its accuracy and noise resilience. However, the periodic nature of the signal causes a spatial ambiguity when the fringe periods are shorter than the projector re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b70a719b0886846b90757617c2dbac2e
https://doi.org/10.5220/0007389402000209
https://doi.org/10.5220/0007389402000209
Publikováno v:
ICPR
Among structured light strategies, the ones based on phase shift are considered to be the most adaptive with respect to the features of the objects to be captured. Inter alia, the theoretical invariance to signal strength and the absence of discontin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8c4b87c4e549a5a83ce9ee5392be180
https://doi.org/10.1109/icpr.2018.8545465
https://doi.org/10.1109/icpr.2018.8545465