Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Spiros Fotopoulos"'
Autor:
Vasiliki Fotopoulou, Spiros Fotopoulos
Publikováno v:
Preschool Education: Global Trends, Vol 5, Pp 147-163 (2024)
Introduction. Professional identity, professionalism, and professional development are concepts that attract research interest over the years. The concepts are complex, multi-faceted, evolving over time, and varying depending on the pre-primary teach
Externí odkaz:
https://doaj.org/article/bd5dde1a1aee406ab4f7e9a29e296e97
Publikováno v:
Journal of Imaging, Vol 7, Iss 5, p 91 (2021)
Lip reading (LR) is the task of predicting the speech utilizing only the visual information of the speaker. In this work, for the first time, the benefits of alternating between spatiotemporal and spatial convolutions for learning effective features
Externí odkaz:
https://doaj.org/article/72cb3d56266a4a56ba111b9576cf3b09
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
A human-centered approach to image database organization is presented in this study. The management of a generic image database is pursued using a standard psychophysical experimental procedure followed by a well-suited data analysis methodology that
Externí odkaz:
https://doaj.org/article/023c3608ba284d72af839539869bf377
Autor:
Panagiotis Tsiganos, Christos Theoharatos, Dimitrios Kastaniotis, George Panayiotakis, Sofoklis Katakis, Elias Panagiotopoulos, Spiros Fotopoulos, George Economou, Nikolaos Barotsis
Publikováno v:
Ultrasound in Medicine & Biology. 45:1562-1573
Human assistive technology and computer-aided diagnosis is an emerging field in the area of medical imaging. Following the recent advances in this domain, a study for integrating machine learning techniques in musculoskeletal ultrasonography images w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5d6ff449f2d04d6d8966b70ef1ab8b1
https://doi.org/10.1016/j.ultrasmedbio.2019.02.011
https://doi.org/10.1016/j.ultrasmedbio.2019.02.011
Publikováno v:
Journal of Imaging
Volume 7
Issue 5
Journal of Imaging, Vol 7, Iss 91, p 91 (2021)
Volume 7
Issue 5
Journal of Imaging, Vol 7, Iss 91, p 91 (2021)
Lip reading (LR) is the task of predicting the speech utilizing only the visual information of the speaker. In this work, for the first time, the benefits of alternating between spatiotemporal and spatial convolutions for learning effective features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2101371b684c37693038a6b11f730038
Publikováno v:
CISP-BMEI
Automated Lip Reading (LR) task is the process of predicting a spoken word using only visual information of a sequence of frames. This sequence modeling task has been approached with Convolutional Neural Networks (CNNs) combined with Long Short-Term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed68b29dc69e774dedb263ed4e96b1e3
https://doi.org/10.1109/cisp-bmei51763.2020.9263634
https://doi.org/10.1109/cisp-bmei51763.2020.9263634
Publikováno v:
International Journal of Remote Sensing. 40:2667-2682
Cloud classification from ground-based observations is a challenging task that attracts increasing attention, favoured by the development of all-sky imaging equipment. In this work, we propose a ne...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a582c6454c807e10c7076f656df64967
https://doi.org/10.1080/01431161.2018.1530807
https://doi.org/10.1080/01431161.2018.1530807
Autor:
Bojidar Peev, Dimitris Kastaniotis, Christos Theoharatos, Aristotelis Koureleas, Spiros Fotopoulos, Dimitrios Tsourounis
Publikováno v:
IISA
This work focuses on the problem of Lip Reading with Greek words in an unconstrained driving scenario. The goal of Lip Reading (LR) is to understand the spoken work using only visual information, a process also known as Visual Speech Recognition (VSR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eba5b74a04b8f42fc6d625adb87602f
https://doi.org/10.1109/iisa.2019.8900757
https://doi.org/10.1109/iisa.2019.8900757
Publikováno v:
Pattern Recognition Letters. 84:245-251
Pose-based gait recognition using Euclidean and Riemannian feature representations.Euclidean representation is based on a residual aggregation method.Riemannian is based on the covariance representation of a sequence.A new publicly available dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9abfc31561dd6e8ef1e5290a7b009ec
https://doi.org/10.1016/j.patrec.2016.10.012
https://doi.org/10.1016/j.patrec.2016.10.012
Publikováno v:
Pattern Recognition. 53:195-211
In this paper we consider the problem of estimating pair-wise signals' dissimilarities through the comparison of the underlying local manifold structures. Aiming to confront with issues such as high geometrical complexity and significant overlap that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09d36d64f4e507bf3f7d0620d90a48d1
https://doi.org/10.1016/j.patcog.2015.12.006
https://doi.org/10.1016/j.patcog.2015.12.006