Events

Speaker: Prof. Volodymyr Melnykov, Department of Information Systems, Statistics, and Management Science, UA Title: On the role of transformations in finite mixture modeling and model-based clustering Abstract: The role of transformations in modeling data groups is investigated. First, situations with known finite sets of possible transformations are considered. Such transformations can occur in the presence

Title: Euler's elastica based models and algorithms in image processing Abstract: Elastica regularizers have been studied in recent years by the image processing community. In this talk, we will first discuss and compare properties of segmentation models with  L^1 and L^2 Elastica regularizers by using a  novel augmented Lagrangian method based algorithm that captures curvature

Title: An adaptive Magnus expansion method for solving the chemical master equation with time-dependent propensities   Abstract: The chemical master equation (CME) is a system of ordinary differential equations (ODEs) to model the chemical interaction of molecular species. The large size of the state space of the system  makes  solving  the  CME  difficult,  and  this  has