An introduction to Johnson-Lindenstrauss transforms
CB Freksen - arXiv preprint arXiv:2103.00564, 2021 - arxiv.org
Johnson--Lindenstrauss Transforms are powerful tools for reducing the dimensionality of
data while preserving key characteristics of that data, and they have found use in many …
data while preserving key characteristics of that data, and they have found use in many …
Orthogonal projections for image quality analyses applied to MRI
A Breger, G Ramos Llorden… - PAMM, 2021 - Wiley Online Library
Measuring digital image quality is of importance in numerous applied research fields, such
as image acquisition, image processing or image reconstruction. Subjective evaluation, ie …
as image acquisition, image processing or image reconstruction. Subjective evaluation, ie …
[PDF][PDF] Dimension Reduction with Orthogonal Projections and Applications in Medical Imaging using Learning Frameworks
A Breger - 2019 - phaidra.univie.ac.at
In the age of digitalized data, dimension reduction is a necessary tool to compress and
combine high-dimensional data. The lower dimensional representations shall enable the …
combine high-dimensional data. The lower dimensional representations shall enable the …