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Journal of Visual Communication and Image Representation 2020 : Special Issue on Deep Low-Rank and Sparse Analytics for Robust Visual Intelligence
Journal of Visual Communication and Image Representation 2020 : Special Issue on Deep Low-Rank and Sparse Analytics for Robust Visual Intelligence

Journal of Visual Communication and Image Representation 2020 : Special Issue on Deep Low-Rank and Sparse Analytics for Robust Visual Intelligence

Submission Deadline: October 20, 2020
Notification of Acceptance: December 20, 2020




About

In this special issue, we solicit original research papers from diverse research fields, developing new deep sparse/low-rank analytics model for representing and understanding visual data, which aims to reduce the gap between sparse/low-rank coding and deep learning.


Call for Papers

The topics of interest include, but are not limited to:

  • Survey/vision/review of sparse/low-rank visual analytics
  • Deep/multi-layer sparse coding or low-rank coding
  • Relations between sparse/low-rank coding and deep learning
  • Deep representation learning
  • Deep sparse or low-rank coding neural network
  • Convolutional sparse/low-rank coding
  • Robust sparse/low-rank subspace discovery
  • Theory and optimization for deep representation learning
  • Applications to robust image processing (e.g., restoration and de-noising) and recognition



Credits and Sources

[1] Journal of Visual Communication and Image Representation 2020 : Special Issue on Deep Low-Rank and Sparse Analytics for Robust Visual Intelligence


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