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Parameterization learning with convolutional neural networks for gridded data fitting

Subjects: deep learning; convolutional neural networks; parameterization

  • Source: Advances in Information and Communication ; https://hal.science/hal-04313411 ; Advances in Information and Communication, 920, Springer Nature Switzerland; Springer Nature Switzerland, pp.393-412,

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Facial expression recognition using light field cameras : a comparative study of deep learning architectures

Subjects: Facial Expression Recognition; Light Field Camera; Convolutional Neural NetworksKuala Lumpur; France

  • Source: International Conference on Image Processing ; https://hal.science/hal-04311079 ; International Conference on Image Processing, Oct 2023, Kuala Lumpur, France

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Enhancing Diabetic Retinopathy Detection using Transfer Learning

Subjects: Deep Learning; Transfer Learning; Diabetic Retinopathy (DR)Mahdia; Tunisia

  • Source: Colloque sur les Objets et Systèmes Connectés 2023 ; https://hal.science/hal-04219806 ; Colloque sur les Objets et Systèmes Connectés 2023, Institut Supérieur des études technologiques de Sfax;

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SANGRIA: one-Shot leArNinG super-ResolutIon with Adversarial training for accelerated Magnetic Resonance Imaging

Subjects: Super-resolution convolutional neural networks adversarial one-shot learning MRI parallel imaging k-space undersampling neuroimaging; Super-resolution; convolutional neural networksVANNES; France

  • Source: JOINT CAp (Conférence sur l'Apprentissage automatique) and RFIAP (Reconnaissance des Formes, Image, Apprentissage et Perception ; https://hal.science/hal-04050162 ; JOINT CAp (Conférence sur

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Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological intermediates

Subjects: Morphometrics; Artificial Intelligence; Convolutional Neural Networks

  • Source: ISSN: 0377-8398 ; Marine Micropaleontology ; https://hal.science/hal-04215322 ; Marine Micropaleontology, In press, pp.102293. ⟨10.1016/j.marmicro.2023.102293⟩.

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Towards a GUI Gesture Control Using the Leap Motion Controller

Subjects: assistive technology gesture mouse gesture communication leap motion convolutional neural networks; assistive technology; gesture mouse

  • Source: ISSN: 1259-5977 ; Modelling, measurement and control C ; https://hal.science/hal-04114933 ; Modelling, measurement and control C, 2022, 83, pp.7-13. ⟨10.18280/mmc_c.831-402⟩.

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From Just Noticeable Differences to Image Quality

Subjects: image quality assessment; siamese convolutional neural networks; just noticeable differenceLisbon; Portugal

  • Source: QoEVMA '22: Proceedings of the 2nd Workshop on Quality of Experience in Visual Multimedia Applications ; 2nd Workshop on Quality of Experience in Visual Multimedia Applications (QoEVMA ’22), October

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Hybrid Partitioning for Embedded and Distributed CNNs Inference on Edge Devices ; Partitionnement hybride pour une inférence distribuée et embarquée des CNNs sur les équipements en bordure de réseau.

Subjects: Distributed Inference; Edge Computing; Edge IntelligenceVaranasi; India

  • Source: ANTIC 2022 - International conference on advanced network technologies and intelligent computing ; https://hal.univ-grenoble-alpes.fr/hal-03967388 ; ANTIC 2022 - International conference on advanced

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Keystroke Dynamics based User Authentication using Deep Learning Neural Networks

Subjects: Behavioral biometrics; keystroke dynamics; user authenticationKanazawa; Japan

  • Source: 2022 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW 2022)https://hal.science/hal-037168182022 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW 2022), Sep 2022, Kanazawa, Japan

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Measurement of Bridge Vibration by UAVs Combined with CNN and KLT Optical-Flow Method

Subjects: bridge vibration; unmanned aerial vehicles; Kanade-Lucas-Tomasi optical-flow method

  • Source: ISSN: 2076-3417.

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  • 1-10 of  163 results for ""convolutional neural networks""