Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Yenisel Plasencia Calaña"'
Autor:
Michele Esposito, Giancarlo Valente, Yenisel Plasencia-Calaña, Michel Dumontier, Bruno L. Giordano, Elia Formisano
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Sound recognition is effortless for humans but poses a significant challenge for artificial hearing systems. Deep neural networks (DNNs), especially convolutional neural networks (CNNs), have recently surpassed traditional machine learning i
Externí odkaz:
https://doaj.org/article/e19d88604e7a49d6bca4b550622cb912
Autor:
Bruno L. Giordano, Ricardo de Miranda Azevedo, Yenisel Plasencia-Calaña, Elia Formisano, Michel Dumontier
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Taxonomies and ontologies for the characterization of everyday sounds have been developed in several research fields, including auditory cognition, soundscape research, artificial hearing, sound design, and medicine. Here, we surveyed 36 of such know
Externí odkaz:
https://doaj.org/article/f8789575127343bebf68b799acf39105
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 12, Iss 3, Pp 17-31 (2018)
Gait recognition is an important biometric technique for video surveillance tasks, due to the advantage of using it at distance. In this paper, we present a persistent homology-based method to extract topological features from the body silhouettes of
Externí odkaz:
https://doaj.org/article/0ba210108afd46ae804c82976c2116cf
Autor:
Michele Esposito, Giancarlo Valente, Yenisel Plasencia-Calaña, Michel Dumontier, Bruno L. Giordano, Elia Formisano
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::211423ccbc826af6ef48ea456d23fc8e
https://doi.org/10.1109/icassp49357.2023.10095606
https://doi.org/10.1109/icassp49357.2023.10095606
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
Deep Convolutional Neural Networks (DCNN) are the state-of-the-art in face recognition. In this paper, we study different representations obtained from a pre-trained DCNN, in order to determine the best way in which they can be used in different task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b900ab2511aea7d8c8659ded3cb64a7
https://doi.org/10.1007/978-3-319-75193-1_43
https://doi.org/10.1007/978-3-319-75193-1_43
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030011314
IWAIPR
IWAIPR
In video surveillance and others real-life applications, it is usually needed to match low resolution (LR) face images against high-resolution (HR) gallery images. Although extensive efforts have been made, it is still difficult to find effective rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fc78a452256c091d1609ce253b54cda
https://doi.org/10.1007/978-3-030-01132-1_11
https://doi.org/10.1007/978-3-030-01132-1_11
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319522760
CIARP
CIARP
Face sketches are one of the main sources used for criminal investigation. In this paper, we propose a new approach for the recognition of facial composite sketches. We propose the use of discriminative representations as a way to bridge the modality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ad4d68824b213c4430c33b9059c90b5
https://doi.org/10.1007/978-3-319-52277-7_25
https://doi.org/10.1007/978-3-319-52277-7_25
Autor:
Robert P. W. Duin, Yenisel Plasencia-Calaña, Marco Loog, Edel García-Reyes, Mauricio Orozco-Alzate, Yan Li
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319522760
CIARP
CIARP
Multiscale information provides an opportunity to improve the outcomes of data analysis processes. However, if the multiscale information is not properly summarized in a compact representation, this may lead to problems related to high dimensional da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00362f82f422a3223a9a6732f87a7b23
https://doi.org/10.1007/978-3-319-52277-7_19
https://doi.org/10.1007/978-3-319-52277-7_19
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319522760
CIARP
CIARP
Standard face recognition methods based on a feature representations are not suitable for low-resolution environments. Therefore low-resolution face recognition is still an unsolved problem where the best approaches still obtain very low recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d225767247ddbb2ae76f0d4d1756f9a6
https://doi.org/10.1007/978-3-319-52277-7_27
https://doi.org/10.1007/978-3-319-52277-7_27
Publikováno v:
Digital Signal Processing. 23:902-911
Recently, generalized dissimilarity representations have shown their potential for small sample size problems. In generalizations by feature lines, instead of dissimilarities with objects, we have dissimilarities with feature lines. One drawback of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d27fccdad4d79071f3b0bcba126cc34
https://doi.org/10.1016/j.dsp.2012.11.006
https://doi.org/10.1016/j.dsp.2012.11.006