3 papers
math.NA2026
Motion-Enabled Tomography via Gaussian Mixture Models
Daniel Burrows, Can Evren Yarman, Ozan Öktem
Recovering physical properties of objects in motion is a core task across scientific and industrial applications. When the relative motion between the object and the sensing appara…
stat.ML2019
Gaussian mixture model decomposition of multivariate signals
Gustav Zickert, Can Evren Yarman
We propose a greedy variational method for decomposing a non-negative multivariate signal as a weighted sum of Gaussians, which, borrowing the terminology from statistics, we refer…
cs.IT2017
Sampling for approximating -limited functions
Can Evren Yarman
-limited functions are multivariate generalization of band-limited functions whose Fourier transforms are supported within a compact region . In this wor…