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1دورية أكاديمية
المؤلفون: Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga
المصدر: IEEE Access, Vol 8, Pp 49112-49124 (2020)
مصطلحات موضوعية: Convolutional neural networks, single-image super-resolution, CT~images, MRI images, medical image super-resolution, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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2دورية أكاديمية
المصدر: IEEE Access, Vol 7, Pp 64827-64836 (2019)
مصطلحات موضوعية: Facial expression recognition, local learning, convolutional neural networks, bag-of-visual-words, dense-sparse-dense training, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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المؤلفون: Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah
المصدر: Barbalau, A, Ionescu, R T, Georgescu, M-I, Dueholm, J V, Ramachandra, B, Nasrollahi, K, Shahbaz Khan, F, Moeslund, T B & shah, M 2023, ' SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection ', Computer Vision and Image Understanding, vol. 229, no. 103656, 103656 . https://doi.org/10.1016/j.cviu.2023.103656
مصطلحات موضوعية: FOS: Computer and information sciences, Self-supervised learning, Computer Science - Machine Learning, Multi-task learning, Computer Vision and Pattern Recognition (cs.CV), Transformers, Signal Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Vision and Pattern Recognition, Anomaly detection, Software, Neural networks, Machine Learning (cs.LG)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4db485a8fd879fe8a2b1c43d337c87eb
https://vbn.aau.dk/da/publications/159a3c71-5b80-4d89-8db4-b7746e255365 -
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المؤلفون: Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu
المصدر: Lecture Notes in Computer Science ISBN: 9783031250552
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6950eefd36df4e4551c9ff9f35afdcaf
https://doi.org/10.1007/978-3-031-25056-9_22 -
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المؤلفون: Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Nicolae Verga
المصدر: IEEE Access, Vol 8, Pp 49112-49124 (2020)
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, General Computer Science, Computer science, Image quality, single-image super-resolution, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Gaussian blur, MRI images, Context (language use), 02 engineering and technology, Overfitting, computer.software_genre, Convolutional neural network, Machine Learning (cs.LG), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Voxel, CT~images, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, medicine, General Materials Science, Image resolution, medicine.diagnostic_test, Image and Video Processing (eess.IV), General Engineering, Magnetic resonance imaging, Electrical Engineering and Systems Science - Image and Video Processing, Convolutional code, symbols, medical image super-resolution, 020201 artificial intelligence & image processing, Convolutional neural networks, lcsh:Electrical engineering. Electronics. Nuclear engineering, computer, Algorithm, lcsh:TK1-9971, Interpolation
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9b958cfba97d63c2593218eb04dd9ce
https://ieeexplore.ieee.org/document/9034049/
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المصدر: Machine Vision and Applications
مصطلحات موضوعية: Hardware and Architecture, Special Issue Paper, Computer Vision and Pattern Recognition, Software, Computer Science Applications
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مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Contextual image classification, Computer science, business.industry, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Pattern recognition, Convolutional neural network, Object detection, Convolution, Machine Learning (cs.LG), Data set, Visual cortex, medicine.anatomical_structure, Receptive field, medicine, Artificial intelligence, business, Generator (mathematics)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95c4a23182c1e0e4458d43b645b9836b
http://arxiv.org/abs/2108.07387 -
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المؤلفون: Mubarak Shah, Mariana-Iuliana Georgescu, Marius Popescu, Fahad Shahbaz Khan, Radu Tudor Ionescu
المصدر: IEEE transactions on pattern analysis and machine intelligence. 44(9)
مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Context (language use), 02 engineering and technology, Variation (game tree), Machine learning, computer.software_genre, Motion (physics), Artificial Intelligence, Factor (programming language), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Set (psychology), computer.programming_language, Event (computing), business.industry, Applied Mathematics, Image and Video Processing (eess.IV), Electrical Engineering and Systems Science - Image and Video Processing, Object (computer science), Computational Theory and Mathematics, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Gradient descent, computer, Software
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebf61b0dd8be36b33e124c032fe89daa
https://pubmed.ncbi.nlm.nih.gov/33881990
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المصدر: IEEE Access, Vol 7, Pp 64827-64836 (2019)
مصطلحات موضوعية: FOS: Computer and information sciences, General Computer Science, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Convolutional neural network, Facial recognition system, convolutional neural networks, 0202 electrical engineering, electronic engineering, information engineering, local learning, General Materials Science, Standard test image, business.industry, Deep learning, General Engineering, 020207 software engineering, Pattern recognition, Support vector machine, Data set, dense-sparse-dense training, Task analysis, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Facial expression recognition, bag-of-visual-words, Classifier (UML), lcsh:TK1-9971
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11b2ccf0b34a50873b2e9956e43f90d1
https://ieeexplore.ieee.org/document/8716652/
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المؤلفون: Mariana-Iuliana Georgescu, Radu Tudor Ionescu
المصدر: ICPR
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Facial expression, Artificial neural network, Computer science, business.industry, Computer Vision and Pattern Recognition (cs.CV), Speech recognition, Headset, Computer Science - Computer Vision and Pattern Recognition, 020207 software engineering, 02 engineering and technology, Virtual reality, Convolutional neural network, Facial recognition system, Machine Learning (cs.LG), Face (geometry), 0202 electrical engineering, electronic engineering, information engineering, Embedding, 020201 artificial intelligence & image processing, Artificial intelligence, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fad67be2bd22100674f6326ffa6e29b5
https://doi.org/10.1109/icpr48806.2021.9412493
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