Cargando…
A Robust Tensor-Based Submodule Clustering for Imaging Data Using [Formula: see text] 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...
Autores principales: | Francis, Jobin, Madathil, Baburaj, George, Sudhish N., George, Sony |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708766/ https://www.ncbi.nlm.nih.gov/pubmed/34940746 http://dx.doi.org/10.3390/jimaging7120279 |
Ejemplares similares
-
An approach to [Formula: see text] -single-valued neutrosophic submodules
por: Hameed, Muhammad Shazib, et al.
Publicado: (2023) -
Constraints on tensor and scalar couplings from [Formula: see text] and [Formula: see text]
por: Beaujean, Frederik, et al.
Publicado: (2015) -
To [Formula: see text] , or not to [Formula: see text] : recent developments and comparisons of regularization schemes
por: Gnendiger, C., et al.
Publicado: (2017) -
Weak and Strong Type [Formula: see text] –[Formula: see text] Estimates for Sparsely Dominated Operators
por: Frey, Dorothee, et al.
Publicado: (2018) -
Realizing [Formula: see text]-regular Hyperproperties
por: Finkbeiner, Bernd, et al.
Publicado: (2020)