ESTIMATING THE RESPIRATORY LUNG MOTION MODEL USING TENSOR DECOMPOSITION ON DISPLACEMENT VECTOR FIELD

ESTIMATING THE RESPIRATORY LUNG MOTION MODEL USING TENSOR DECOMPOSITION ON DISPLACEMENT VECTOR FIELD

Modern big data often emerge as tensors. Standard statistical methods are inadequate to deal with datasets of large volume, high dimensionality, and complex structure. Therefore, it is important to develop algorithms such as low-rank tensor decomposition for data compression, dimensionality reductio...

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Bibliographic Details
Main Author: Kang, Kingston
Format: Others
Published: VCU Scholars Compass 2018
Subjects:
Displacement Vector Field
Tensor Decomposition
Population Value Decomposition
Population Tucker Decomposition
Low-rank Approximation
Lung Respiratory Motion Model
Biostatistics
Oncology
Radiology
Statistical Methodology
Statistical Models
Theory and Algorithms
Online Access:https://scholarscompass.vcu.edu/etd/5254
https://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=6327&context=etd

Internet

https://scholarscompass.vcu.edu/etd/5254
https://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=6327&context=etd

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