Description In this presentation we define a 2D and 3D-image representation based on a hypergraph of rectangle. This representation conducts to a lossless compression algorithm for 2D and 3D-images...
Description Many scenarios in theoretical biology, physics, and management science can be modeled as discrete complex systems with several interacting components that can be in various states. The aim...
Description In this lecture, we will study the behavior for small viscosity of the Navier-Stokes equations in a channel when the walls are permeable (noncharacteristic case). Convergence is proved to...
Description The paper presents an overview of methods of hedging defaultable derivatives under the assumption that there exist tradeable assets with dynamics allowing for elimination of default risk...
SpeakerErhan BayraktarUniversity of Michiganhttp://www.math.lsa.umich.edu/~erhan/ Description We study the quickest detection problem of a sudden change in the arrival rate of a Poisson process from a...
Description Large deviation estimates are probabilistic limit theorems which are used to describe atypical behavior of random systems. Markov processes are a rich class of probabilistic models. Their...
Description Sulcal fundi are 3D curves that lie in the depths of the cerebral cortex and are often used as landmarks for downstream computations in brain image processing. In this talk, a sequence of...
SpeakerPlamen KoevMassachusetts Institute of Technologyhttp://www-math.mit.edu/~plamen/ Description Biologists often face the following problem: Given a set of taxa and information about them-which...
