Search Results - "tensor convolutional sparse coding"

  • Showing 1 - 5 results of 5
Refine Results
  1. 1

    Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification by Cheng, Chunbo, Li, Hong, Peng, Jiangtao, Cui, Wenjing, Zhang, Liming

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2022
    “… In this article, a deep high-order tensor convolutional sparse coding (CSC) model is proposed, which can be used to train deep high-order filters…”
    Get full text
    Journal Article
  2. 2

    Deep High-order Tensor Convolutional Sparse Coding for Stereo Matching by Cui, Wenjing, Cheng, Chunbo

    Published: IEEE 06.08.2021
    “… Therefore, it is very important to establish a deep high order tensor model. In this paper, we propose a deep high-order tensor convolutional sparse coding model, which can automatically learn the deep convolutional kernel…”
    Get full text
    Conference Proceeding
  3. 3

    Online Tensor Robust Principal Component Analysis by Salut, Mohammad M., Anderson, David V.

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2022
    Published in IEEE access (2022)
    “…Online robust principal component analysis (RPCA) algorithms recursively decompose incoming data into low-rank and sparse components. However, they operate on…”
    Get full text
    Journal Article
  4. 4

    Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis by Humbert, Pierre, Oudre, Laurent, Vayatis, Nivolas, Audiffren, Julien

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 10.07.2020
    Published in arXiv.org (10.07.2020)
    “…Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of…”
    Get full text
    Paper
  5. 5

    Two Layer Tensor Form Convolutional Sparse Coding for Stereo Matching by Cheng, Chunbo, Cui, Wenjing

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2021
    Published in IEEE access (2021)
    “…Stereo matching is an important research topic in the field of computer vision. It recovers depth information from a pair of color images. Unfortunately,…”
    Get full text
    Journal Article