Výsledky vyhľadávania - multi-layered convolutional sparse coding~

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  1. 1

    Analysis of Top-Down Connections in Multi-Layered Convolutional Sparse Coding Autor Edlund, Joakim, Guillemot, Christine, Sjostrom, Marten

    ISSN: 2473-3628
    Vydavateľské údaje: IEEE 06.10.2021
    “… Multi-Layered Convolutional Sparse Coding (ML-CSC) based on a cascade of convolutional layers in which each layer can be approximately explained by the following layer can be seen as a biologically inspired framework…”
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  2. 2

    Multi-Layer Basis Pursuit for Compressed Sensing MR Image Reconstruction Autor Wahid, Abdul, Shah, Jawad Ali, Khan, Adnan Umar, Ahmed, Manzoor, Razali, Hanif

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2020
    Vydané v IEEE access (2020)
    “… Inspired from recent research works on multi-layer convolutional sparse coding (ML-CSC) theory to model deep neural networks, this work proposes a multi-layer basis…”
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    Journal Article
  3. 3

    Multi-Layered Basis Pursuit Algorithms for Classification of MR Images of Knee ACL Tear Autor Wahid, Abdul, Shah, Jawad Ali, Khan, Adnan Umar, Ullah, Mukhtar, Ayob, Mohd Zaki

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2020
    Vydané v IEEE access (2020)
    “…Deep learning architectures have been extensively used in recent years for the classification of biomedical images to assist clinicians for diagnosis and…”
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    Journal Article
  4. 4

    Multi Attention Convolutional Sparse Coding U-Net for Enhanced Land-Use and Land-Cover Segmentation Using Hyperspectral Images Autor Yele, Vijaykumar P., Badhe, Namdeo Baban, Alegavi, Sujata, Sedamkar, R. R.

    ISSN: 1557-2072, 1557-2064, 1557-2072
    Vydavateľské údaje: New York Springer US 01.12.2025
    Vydané v Sensing and imaging (01.12.2025)
    “… with the architectural complexities hindering the performance across different datasets and tasks. In response to this, a Multi Attention Convolutional sparse coding U-network Feed-forward Network (MACUFN…”
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    Journal Article
  5. 5

    Lamb wave-based damage assessment for composite laminates using a deep learning approach Autor Zhang, Han, Wang, Fan, Lin, Jing, Hua, Jiadong

    ISSN: 0041-624X, 1874-9968, 1874-9968
    Vydavateľské údaje: Netherlands Elsevier B.V 01.07.2024
    Vydané v Ultrasonics (01.07.2024)
    “…•A convolutional sparse coding-based UNet (CSCUNet) is proposed to analyze the ultrasonic Lamb wave signal, which enables high-resolution imaging of damage in composite laminates…”
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    Journal Article
  6. 6

    A Multilayered Convolutional Sparse Coding Framework for Modeling of Pooling Operation of Convolution Neural Networks Autor Wahid, Abdul, Umar Khan, Adnan, Mukhtarullah, Khan, Sheroz, Shah, Jawad

    ISSN: 2640-6535
    Vydavateľské údaje: IEEE 01.08.2019
    “…Convolutional Sparse Coding (CSC) framework has been proposed recently to explain relation between Convolutional Neural Networks (CNNs…”
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  7. 7

    Improved Image Generation via Sparse Modeling Autor Ganz, Roy, Elad, Michael

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 13.05.2022
    Vydané v arXiv.org (13.05.2022)
    “…The interest of the deep learning community in image synthesis has grown massively in recent years. Nowadays, deep generative methods, and especially…”
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  8. 8

    Complex Valued and Layer Based Categorization of Synthetic Aperture Radar Patches Autor Sipos, Danijel, Gleich, Dusan, Planinsic, Peter

    Vydavateľské údaje: IEEE 20.10.2021
    “… In this paper a sparse coding approach is designed in multi layered architecture. This this paper proposes a layered based sparse coding using approaches introduced within…”
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  9. 9

    Multi-layer Convolutional Sparse Coding Framework for Restoration of Under-sampled MR Images Autor Wahid, Abdul, Ullah, Abdul Wahab Usman, Kadir, Kushairy, Saadain, Syed

    ISSN: 2642-2077
    Vydavateľské údaje: IEEE 17.05.2021
    “…Magnetic Resonance Imaging (MRI) plays an important role in the diagnosis of different pathologies associated with human anatomy. The need to acquire images…”
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