[HTML][HTML] Evaluation of data augmentation techniques for facial expression recognition systems
Most Facial Expression Recognition (FER) systems rely on machine learning approaches
that require large databases for an effective training. As these are not easily available, a …
that require large databases for an effective training. As these are not easily available, a …
Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems
S Porcu, A Floris, L Atzori - ELECTRONICS, 2020 - iris.unica.it
Abstract Most Facial Expression Recognition (FER) systems rely on machine learning
approaches that require large databases for an effective training. As these are not easily …
approaches that require large databases for an effective training. As these are not easily …
Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems
S Porcu, A Floris, L Atzori - search.proquest.com
Abstract Most Facial Expression Recognition (FER) systems rely on machine learning
approaches that require large databases for an effective training. As these are not easily …
approaches that require large databases for an effective training. As these are not easily …
[PDF][PDF] Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems
S Porcu, A Floris, L Atzori - core.ac.uk
Most Facial Expression Recognition (FER) systems rely on machine learning approaches
that require large databases for an effective training. As these are not easily available, a …
that require large databases for an effective training. As these are not easily available, a …
Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems.
S Porcu, A Floris, L Atzori - Electronics (2079-9292), 2020 - search.ebscohost.com
Abstract Most Facial Expression Recognition (FER) systems rely on machine learning
approaches that require large databases for an effective training. As these are not easily …
approaches that require large databases for an effective training. As these are not easily …
Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems
S Porcu, A Floris, L Atzori - Electronics, 2020 - cir.nii.ac.jp
抄録< jats: p> Most Facial Expression Recognition (FER) systems rely on machine learning
approaches that require large databases for an effective training. As these are not easily …
approaches that require large databases for an effective training. As these are not easily …
[PDF][PDF] Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems
S Porcu, A Floris, L Atzori - researchgate.net
Most Facial Expression Recognition (FER) systems rely on machine learning approaches
that require large databases for an effective training. As these are not easily available, a …
that require large databases for an effective training. As these are not easily available, a …
[PDF][PDF] Evaluation of Data Augmentation Techniques for Facial Expression Recognition Systems
S Porcu, A Floris, L Atzori - iris.unica.it
Most Facial Expression Recognition (FER) systems rely on machine learning approaches
that require large databases for an effective training. As these are not easily available, a …
that require large databases for an effective training. As these are not easily available, a …