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Hypergraph-based Image Representation
Description An appropriate image representation induces some good picture treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling many problems of operational...
Hypergraphs for 2D and 3D Lossless Image Compression
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...
Boundary layers associated with the incompressible Navier-Stokes equations:The non characteristic case
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...
Hedging of Credit Derivatives in Models with Totally Unexpected Default
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...
Adaptive Poisson Disorder Problem
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...
Large Deviations for Markov Processes and Related Variational Problems
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...
A Geometric Method for Automatic Extraction of Sulcal Fundi
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...