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Sudhish N. George

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Sony George

> Home > Persons > Sudhish N. George

Publications

2023
[j33]
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  - journals/tsipn/FrancisMGG23
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  persistent URL:
  - https://dblp.org/rec/journals/tsipn/FrancisMGG23
Jobin Francis, Baburaj Madathil, Sudhish N. George, Sony George:
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm. IEEE Trans. Signal Inf. Process. over Networks 9: 612-625 (2023)
[c15]
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  dblp key:
  - conf/whispers/0002DGG23
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  - https://dblp.org/rec/conf/whispers/0002DGG23
Jobin Francis, Binu Melit Devassy, Sudhish N. George, Sony George:
Quantitative Assessment of Hayward Kiwi Soluble Solids Content Prediction Using Hyperspectral Imaging. WHISPERS 2023: 1-5
2022
[j32]
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  - journals/access/FrancisMGG22
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Jobin Francis, Baburaj Madathil, Sudhish N. George, Sony George:
A Comprehensive Tensor Framework for the Clustering of Hyperspectral Paper Data With an Application to Forensic Document Analysis. IEEE Access 10: 6194-6207 (2022)
[c12]
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  - no references & citations available
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  dblp key:
  - conf/cvcs/ShanthiniGG22
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  - https://dblp.org/rec/conf/cvcs/ShanthiniGG22
K. S. Shanthini, Sudhish N. George, Sony George:
A New Optimization Model for the Restoration of the Deteriorated Hyperspectral Images. CVCS 2022
[c11]
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  - conf/whispers/FrancisSGG22
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  - https://dblp.org/rec/conf/whispers/FrancisSGG22
Jobin Francis, K. S. Shanthini, Sudhish N. George, Sony George:
A Tensor Non-Convex Low Rank And Sparse Constrained Band Selection Scheme For Clustering Of Hyperspectral Paper Data. WHISPERS 2022: 1-5
2021
[j27]
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  - journals/jimaging/FrancisMGG21
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  - https://dblp.org/rec/journals/jimaging/FrancisMGG21
Jobin Francis, Baburaj Madathil, Sudhish N. George, Sony George:
A Robust Tensor-Based Submodule Clustering for Imaging Data Using l12 Regularization and Simultaneous Noise Recovery via Sparse and Low Rank Decomposition Approach. J. Imaging 7(12): 279 (2021)

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