2 papers
eess.IV2019
Bias and variance reduction and denoising for CTF Estimation
Ayelet Heimowitz, Joakim Andén, Amit Singer
When using an electron microscope for imaging of particles embedded in vitreous ice, the objective lens will inevitably corrupt the projection images. This corruption manifests as…
cs.LG2019
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization
Alexander Jung, Alfred O. Hero, Alexandru Mara +3
We propose and analyze a method for semi-supervised learning from partially-labeled network-structured data. Our approach is based on a graph signal recovery interpretation under a…