A Robust Tensor-Based Submodule Clustering for Imaging Data Using <inline-formula><math display="inline"><semantics><msub><mi>l</mi><mfrac><mn>1</mn><mn>2</mn></mfrac></msub></semantics></math></inline-formula> Regularization and Simultaneous Noise Recovery via Sparse and Low Rank Decomposition Approach

A Robust Tensor-Based Submodule Clustering for Imaging Data Using <inline-formula><math display="inline"><semantics><msub><mi>l</mi><mfrac><mn>1</mn><mn>2</mn></mfrac></msub></semantics></math></inline-formula> Regularization and Simultaneous Noise Recovery via Sparse and Low Rank Decomposition Approach

The massive generation of data, which includes images and videos, has made data management, analysis, information extraction difficult in recent years. To gather relevant information, this large amount of data needs to be grouped. Real-life data may be noise corrupted during data collection or trans...

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Bibliographic Details
Main Authors: Jobin Francis, Baburaj Madathil, Sudhish N. George, Sony George
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Imaging
Subjects:
subspace clustering
submodule clustering
<inline-formula><math display="inline"><semantics><msub><mi>l</mi><mfrac><mn>1</mn><mn>2</mn></mfrac></msub></semantics></math></inline-formula> induced tensor nuclear norm (TNN)
sparse and low rank decomposition
Online Access:https://www.mdpi.com/2313-433X/7/12/279

Internet

https://www.mdpi.com/2313-433X/7/12/279

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