Graph transform learning

DOI10.1016/J.NEUNET.2020.05.020zbMath1468.68162DBLPjournals/nn/Majumdar20OpenAlexW3026426464WikidataQ95850316 ScholiaQ95850316MaRDI QIDQ1982436

Angshul Majumdar

Publication date: 8 September 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.05.020

zbMATH Keywords

clusteringsignal processinggraphical modeltransform learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Graphs and linear algebra (matrices, eigenvalues, etc.) (05C50) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Probabilistic graphical models (62H22)

Cites Work

• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• Manifold optimization-based analysis dictionary learning with an \(\ell_{1/2}\)-norm regularizer
• Manifold regularized matrix completion for multi-label learning with ADMM
• Learning Sparsifying Transforms
• Learning Parametric Dictionaries for Signals on Graphs

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