Publications related to Supermajority

Predicting party switching through machine learning and open data

Parliament dynamics might seem erratic at times. Predicting future voting patterns could support policy design based on the simulation of voting scenarios. The availability of open data on legislative activities and machine learning tools might enable such ...

CELL PRESS2023

The probability of intransitivity in dice and close elections

Jan Hazla

We study the phenomenon of intransitivity in models of dice and voting. First, we follow a recent thread of research for n-sided dice with pairwise ordering induced by the probability, relative to 1/2, that a throw from one die is higher than the other. We ...

2020

Enhanced discriminability for nonbiological motion violating the two-thirds power law

Olaf Blanke, Roy Salomon, Nathan Quentin Faivre, Laurène Véronique Vuillaume

The two-thirds power law describes the relationship between velocity and curvature in human motor movements. Interestingly, this motor law also affects visual motion perception, in which stimuli moving according to the two-thirds power law are perceived to ...

Association for Research in Vision and Ophthalmology (ARVO)2016

The Distributed Multiple Voting Problem

Martin Vetterli, Patrick Thiran, Florence Bénézit

A networked set of agents holding binary opinions does not seem to be able to compute its majority opinion by means of local binary interactions only. However, the majority problem can be solved using two or more bits, instead of one [1]. Pairs of agents a ...

2011

Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour Framework

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

This paper presents the segmentation of bilateral parotid glands in the Head and Neck (H&N) CT images using an active contour based atlas registration. We compare segmentation results from three atlas selection strategies: (i) selection of “single-most-sim ...

2010

Interval consensus: from quantized gossip to voting

Martin Vetterli, Patrick Thiran, Florence Bénézit

We design distributed and quantized average consensus algorithms on arbitrary connected networks. By construction, quantized algorithms cannot produce a real, analog average. Instead, our algorithm reaches consensus on the quantized interval that contains ...

2009