Seminars

The automatic analysis of cytological preparations is very challenging due to complexity of cellular structures. Classical segmentation methods such as thresholding, active contours or watershed are effective only for simple cases where nuclei are well isolated from each other. Unfortunately, in case of cytological material this requirement is very rarely fulfilled. To tackle this problem, I propose the method which transforms cytological image into simpler form where nuclei are approximated by circular or elliptical-shaped objects.

In this presentation, I will discuss a number of issues related to the problem of selecting a group of candidates (referred to as the committee). Committee elections have applications ranging from shortlisting, through the issue of finding items to present on a store's website, to parliamentary elections (or, on a smaller scale, the problem of choosing the electors at a university). I will show simulation results for a number of multiwinner rules and discuss these rules' computational complexity and axiomatic properties.