Cargando…

Improving Generalizability of Spectral Reflectance Reconstruction Using L1-Norm Penalization

Spectral reflectance reconstruction for multispectral images (such as Weiner estimation) may perform sub-optimally when the object being measured has a texture that is not in the training set. The accuracy of the reconstruction is significantly lower without training samples. We propose an improved...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yao, Pengpeng, Wu, Hochung, Xin, John H.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861650/ https://www.ncbi.nlm.nih.gov/pubmed/36679486 http://dx.doi.org/10.3390/s23020689

Ejemplares similares

L(1)-norm based nonlinear reconstruction improves quantitative accuracy of spectral diffuse optical tomography
por: Lu, Wenqi, et al.
Publicado: (2018)

An Algorithm of l(1)-Norm and l(0)-Norm Regularization Algorithm for CT Image Reconstruction from Limited Projection
por: Li, Xiezhang, et al.
Publicado: (2020)

Applications of Spectral Gradient Algorithm for Solving Matrix ℓ(2,1)-Norm Minimization Problems in Machine Learning
por: Xiao, Yunhai, et al.
Publicado: (2016)

Generalizability theory
por: Brennan, Robert L
Publicado: (2001)

Concerns on Generalizability
por: Lin, Yongjian
Publicado: (2023)

Optimized clustering method for spectral reflectance recovery
por: Xiong, Yifan, et al.
Publicado: (2022)

Spectral Reflectance Reconstruction of Organ Tissue Based on Metameric Black and Lattice Regression
por: Chen, Yang, et al.
Publicado: (2022)

New space-time block codes from spectral norm
por: Martins, Carlos A. R., et al.
Publicado: (2019)

A Symmetrized Dot Pattern Extraction Method Based on Frobenius and Nuclear Hybrid Norm Penalized Robust Principal Component Analysis and Decomposition and Reconstruction
por: Wang, Lijing, et al.
Publicado: (2023)

Resample aggregating improves the generalizability of connectome predictive modeling
por: O’Connor, David, et al.
Publicado: (2021)

ADMM-EM Method for L (1)-Norm Regularized Weighted Least Squares PET Reconstruction
por: Teng, Yueyang, et al.
Publicado: (2016)

Note on inheritance and generalizability
por: Amiri, Iraj Sadegh
Publicado: (2017)

Spectral Reflectance Reconstruction Using Fuzzy Logic System Training: Color Science Application
por: Maali Amiri, Morteza, et al.
Publicado: (2020)

The spectral norms of geometric circulant matrices with the generalized k-Horadam numbers
por: Shi, Baijuan
Publicado: (2018)

On the spectral norms of r-circulant matrices with the biperiodic Fibonacci and Lucas numbers
por: Köme, Cahit, et al.
Publicado: (2017)

Spectral Filter Selection Based on Human Color Vision for Spectral Reflectance Recovery
por: Niu, Shijun, et al.
Publicado: (2023)

Improving Generalization Based on l(1)-Norm Regularization for EEG-Based Motor Imagery Classification
por: Zhao, Yuwei, et al.
Publicado: (2018)

Optimized Multi-Spectral Filter Arrays for Spectral Reconstruction
por: Wu, Renjie, et al.
Publicado: (2019)

Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations
por: Beauferris, Youssef, et al.
Publicado: (2022)

Full-text chemical identification with improved generalizability and tagging consistency
por: Kim, Hyunjae, et al.
Publicado: (2022)

Improving the generalizability of protein-ligand binding predictions with AI-Bind
por: Chatterjee, Ayan, et al.
Publicado: (2023)

Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images
por: Chen, Chen, et al.
Publicado: (2020)

Smoothed l (0) Norm Regularization for Sparse-View X-Ray CT Reconstruction
por: Li, Ming, et al.
Publicado: (2016)

Gradient Projection with Approximate L(0) Norm Minimization for Sparse Reconstruction in Compressed Sensing
por: Wei, Ziran, et al.
Publicado: (2018)

An Examination of the Generalizability of Motor Costs
por: Berniker, Max, et al.
Publicado: (2013)

Authors’ Reply: Concerns on Generalizability
por: Chung, Hsueh-Wen, et al.
Publicado: (2023)

Reconciling the statistics of spectral reflectance and colour
por: Griffin, Lewis D.
Publicado: (2019)

The sequestration mechanism as a generalizable approach to improve the sensitivity of biosensors and bioassays
por: Chamorro-Garcia, Alejandro, et al.
Publicado: (2022)

L1-Norm and L∞-Norm estimation: an introduction to the least absolute residuals, the minimax absolute residual and related fitting procedures
por: Farebrother, Richard William
Publicado: (2013)

Parental investment in Tibetan populations does not reflect stated cultural norms
por: Du, Juan, et al.
Publicado: (2018)

Correction to: On the spectral norms of r-circulant matrices with the bi-periodic Fibonacci and Lucas numbers
por: Köme, Cahit, et al.
Publicado: (2018)

Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models
por: Dular, Lara, et al.
Publicado: (2023)

Validity, reliability, and generalizability in qualitative research
por: Leung, Lawrence
Publicado: (2015)

Generalizability and reproducibility of functional connectivity in autism
por: King, Jace B., et al.
Publicado: (2019)

GENERALIZABILITY OF CLINICAL TRIALS OF DELIRIUM INTERVENTIONS
por: DiBlasio, Christina, et al.
Publicado: (2019)

Learning generalizable behaviors from demonstration
por: Rivera, Corban, et al.
Publicado: (2022)

An L(p) (0 ≤ p ≤ 1)-norm regularized image reconstruction scheme for breast DOT with non-negative-constraint
por: Wang, Bingyuan, et al.
Publicado: (2017)

Retiring, Rethinking, and Reconstructing the Norm of Once-Weekly Psychotherapy
por: Schleider, Jessica L., et al.
Publicado: (2020)

Discrimination of spectral reflectance under environmental illumination
por: Morimoto, Takuma, et al.
Publicado: (2018)

Effects of water stress on spectral reflectance of bermudagrass
por: Caturegli, Lisa, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_di4umg6abrchk108q59rrhq867