Zobrazeno 1 - 10
of 5 384
pro vyhledávání: '"Normalization (image processing)"'
Autor:
Puneet Gupta
Publikováno v:
IEEE Transactions on Affective Computing. 14:1431-1441
Facial micro-expression (ME) can disclose genuine and concealed human feelings. It makes MEs extensively useful in real-world applications pertaining to affective computing and psychology. Unfortunately, they are induced by subtle facial movements fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29dd24ec87fa2376c102bca151c445ec
https://doi.org/10.1109/taffc.2021.3061967
https://doi.org/10.1109/taffc.2021.3061967
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:1513-1523
The goal of hyperspectral image fusion (HIF) is to reconstruct high spatial resolution hyperspectral images (HR-HSI) via fusing low spatial resolution hyperspectral images (LR-HSI) and high spatial resolution multispectral images (HR-MSI) without los
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3be011f91c3ced32bf1b185f35ec47a
https://doi.org/10.1109/tnnls.2021.3105543
https://doi.org/10.1109/tnnls.2021.3105543
Publikováno v:
IEEE Internet of Things Journal. 10:2071-2078
With the rapid progress of wireless communication technologies along with their digital revolutions, the quantity of Internet of Things (IoT) has been increased by manifolds resulting in a huge increase in data volume and network traffic. It became e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c04258abf5b0ea4649eafae83d67f3ea
https://doi.org/10.1109/jiot.2020.3041184
https://doi.org/10.1109/jiot.2020.3041184
Publikováno v:
IEEE Transactions on Mobile Computing. 22:341-355
WiFi channel state information (CSI) has emerged as a plausible modality for sensing different human vital signs, i.e. respiration and body motion, as a function of modulated wireless signals that travel between WiFi devices. Although a remarkable pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4841ef2a67652396b2f4015794825de
https://doi.org/10.1109/tmc.2021.3077533
https://doi.org/10.1109/tmc.2021.3077533
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:5962-5979
Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability. In this paper, we first introduce an Additive Angular Margin Loss (ArcFace), which not only has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21c1918245d781458d6ba7c147b7d20d
https://doi.org/10.1109/tpami.2021.3087709
https://doi.org/10.1109/tpami.2021.3087709
Publikováno v:
IEEE Transactions on Big Data. 8:1195-1208
Medical concept normalization is a critical problem in information retrieval and clinical applications. In this paper, we focus on normalizing diagnostic and procedure names in Chinese discharge summaries to standard entities, which is formulated as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f7d21761b6cc0cf6d428fe08be56d0e
https://doi.org/10.1109/tbdata.2020.3021389
https://doi.org/10.1109/tbdata.2020.3021389
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:5286-5295
The development of an image-based fish classification system using Convolutional Neural Network (CNN) has the advantages of no longer directly conducting features extraction and several features analysis. These steps has been involved by cascading co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d82eb6084fa822d13953ca068806966
https://doi.org/10.1016/j.jksuci.2021.05.015
https://doi.org/10.1016/j.jksuci.2021.05.015
Autor:
Iris I.A. Groen, Giovanni Piantoni, Stephanie Montenegro, Adeen Flinker, Sasha Devore, Orrin Devinsky, Werner Doyle, Patricia Dugan, Daniel Friedman, Nick Ramsey, Natalia Petridou, Jonathan Winawer
Publikováno v:
J Neurosci
Neural responses to visual stimuli exhibit complex temporal dynamics, including sub-additive temporal summation, response reduction with repeated or sustained stimuli (adaptation), and slower dynamics at low contrast. These phenomena are often studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b10ec3eb731651d1c7e78a725f81c833
https://doi.org/10.1523/jneurosci.1812-21.2022
https://doi.org/10.1523/jneurosci.1812-21.2022
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:2574-2588
Capsule Networks (CapsNets) were proposed to mitigate the shortcomings of Convolutional Neural Networks (CNNs) such as invariance. Even though they have achieved equivariance, they fail to perform on the recognition of complex images and images with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57bf85c7ce689acef1317c1cf58def8
https://doi.org/10.1016/j.jksuci.2020.10.006
https://doi.org/10.1016/j.jksuci.2020.10.006
Autor:
Tommaso Vincenzo Bartolotta, Ramona Woitek, Alessia Angela Maria Orlando, Giorgio Ivan Russo, Leonardo Rundo, Mariangela Dimarco, Carmelo Militello, Ildebrando D’Angelo
Publikováno v:
Academic radiology 29 (2022): 830–840. doi:10.1016/j.acra.2021.08.024
info:cnr-pdr/source/autori:Militello, Carmelo; Rundo, Leonardo; Dimarco, Mariangela; Orlando, Alessia; Woitek, Ramona; D'Angelo, Ildebrando; Russo, Giorgio; Bartolotta, Tommaso Vincenzo/titolo:3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer Patients/doi:10.1016%2Fj.acra.2021.08.024/rivista:Academic radiology/anno:2022/pagina_da:830/pagina_a:840/intervallo_pagine:830–840/volume:29
info:cnr-pdr/source/autori:Militello, Carmelo; Rundo, Leonardo; Dimarco, Mariangela; Orlando, Alessia; Woitek, Ramona; D'Angelo, Ildebrando; Russo, Giorgio; Bartolotta, Tommaso Vincenzo/titolo:3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer Patients/doi:10.1016%2Fj.acra.2021.08.024/rivista:Academic radiology/anno:2022/pagina_da:830/pagina_a:840/intervallo_pagine:830–840/volume:29
Rationale and Objectives: To develop and validate a radiomic model, with radiomic features extracted from breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) from a 1.5T scanner, for predicting the malignancy of masses with enhancem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5eae558d358136e2ccf3f8223ff6f69
https://doi.org/10.1016/j.acra.2021.08.024
https://doi.org/10.1016/j.acra.2021.08.024