Baburaj Madathil
Orcid: 0000-0003-3151-9270
According to our database1,
Baburaj Madathil
authored at least 17 papers
between 2017 and 2023.
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Bibliography
2023
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, 2023
2022
An <i>l</i><sub>½</sub> and Graph Regularized Subspace Clustering Method for Robust Image Segmentation.
ACM Trans. Multim. Comput. Commun. Appl., 2022
A Comprehensive Tensor Framework for the Clustering of Hyperspectral Paper Data With an Application to Forensic Document Analysis.
IEEE Access, 2022
2021
Noise robust image clustering based on reweighted low rank tensor approximation and $l_{\frac{1}{2}}$ regularization.
Signal Image Video Process., 2021
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, 2021
2020
A Unified Tensor Framework for Clustering and Simultaneous Reconstruction of Incomplete Imaging Data.
ACM Trans. Multim. Comput. Commun. Appl., 2020
IEEE Trans. Circuits Syst. Video Technol., 2020
A Two-Way Optimization Framework for Clustering of Images using Weighted Tensor Nuclear Norm Approximation.
Proceedings of the 2020 National Conference on Communications, 2020
2019
Simultaneous Reconstruction and Anomaly Detection of Subsampled Hyperspectral Images Using $l_{({1}/{2})}$ Regularized Joint Sparse and Low-Rank Recovery.
IEEE Trans. Geosci. Remote. Sens., 2019
Multim. Tools Appl., 2019
2018
Twist tensor total variation regularized-reweighted nuclear norm based tensor completion for video missing area recovery.
Inf. Sci., 2018
Neurocomputing, 2018
Biomed. Signal Process. Control., 2018
2017
A novel dictionary-based approach for missing sample recovery of signals in manifold.
Signal Image Video Process., 2017
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
Fast Single Image Learning-Based Super Resolution of Medical Images Using a New Analytical Solution for Reconstruction Problem.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
Denoising of Volumetric MR Image Using Low-Rank Approximation on Tensor SVD Framework.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017