Publications related to Registration and visualization of transcranial magnetic stimulation on magnetic resonance images

Euclidean Distance Matrices: Essential Theory, Algorithms and Applications

Martin Vetterli, Ivan Dokmanic, Juri Ranieri, Reza Parhizkar

Euclidean distance matrices (EDMs) are matrices of the squared distances between points. The definition is deceivingly simple; thanks to their many useful properties, they have found applications in psychometrics, crystallography, machine learning, wireles ...

2015

Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees

Hervé Bourlard, Philip Neil Garner, Afsaneh Asaei, Mohammadjavad Taghizadeh, Reza Parhizkar

This paper addresses the problem of ad hoc microphone array calibration where only partial information about the distances between the microphones is available. We construct a matrix consisting of the pairwise distances and propose to estimate the missing ...

2015

Obstacles For Splitting Multidimensional Necklaces

Michal Lason

The well-known "necklace splitting theorem" of Alon (1987) asserts that every k-colored necklace can be fairly split into q parts using at most t cuts, provided k(q - 1)

Amer Mathematical Soc2015

Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models

Matthieu Marie Cochon de Lapparent

While the question of the specification of spatial weight matrix is now largely discussed in the spatial econometrics literature, the definition of distance has attracted less attention. The choice of the distance measure is often glossed over, with the ul ...

2014

Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Mohammadjavad Taghizadeh

We consider the problem of ad~hoc microphone array calibration where the distance matrix consisted of all microphones pairwise distances have entries missing corresponding to distances greater than

d_{\text{max}}

. Furthermore, the known entries are noisy ...

Idiap2014

Incommensurate crystallography without additional dimensions

Philippe Kocian

It is shown that the Euclidean group of translations, when treated as a Lie group, generates translations not only in Euclidean space but on any space, curved or not. Translations are then not necessarily vectors (straight lines); they can be any curve com ...

Wiley-Blackwell2013

Understanding the Ecumene through Interactive Mapping and Movement-Sensitive Population Indicators: the Case of the Canton Valais, Switzerland

André Ourednik

The canton of Valais can be considered, in many respects, as a synecdoche of the Swiss territory. Presenting many linguistic, cultural or economical polarities that extend over short distances, exacerbating the tension between the ecumene and the ereme, su ...

Universitatea Alexandru Ioan Cuza2013

A Modular Timber Structure

Yves Weinand, Seyed Sina Nabaei

The presented reciprocal frame structure is a modular composition of timber folded panels. The overall geometry is driven from a folded plate base module which is then spartially multiplied in using Euclidean isometries. The intersection of consecutive mod ...

2012

Alignment of uncalibrated images for multi-view classification

Pascal Frossard, Elif Vural, Ömer Sercan Arik

Efficient solutions for the classification of multi-view images can be built on graph-based algorithms when little information is known about the scene or cameras. Such methods typically require a pairwise similarity measure between images, where a common ...

2011

A mathematical model of neural axons based on metric induced by Hamilton-Jacobi equation

Alessandro Daducci

Diffusion MRI is a magnetic resonance imaging (MRI) method producing images of biological tissues weighted with the local characteristics of water diffusion. In our case we are concerned with neural axons of white matter in the brain. Diffusion through thi ...

2010

Registration and visualization of transcranial magnetic stimulation on magnetic resonance images

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Euclidean Distance Matrices: Essential Theory, Algorithms and Applications

Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees

Obstacles For Splitting Multidimensional Necklaces

Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models

Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Incommensurate crystallography without additional dimensions

Understanding the Ecumene through Interactive Mapping and Movement-Sensitive Population Indicators: the Case of the Canton Valais, Switzerland

A Modular Timber Structure

Alignment of uncalibrated images for multi-view classification

A mathematical model of neural axons based on metric induced by Hamilton-Jacobi equation

Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees

A Modular Timber Structure

Alignment of uncalibrated images for multi-view classification

A mathematical model of neural axons based on metric induced by Hamilton-Jacobi equation

Euclidean Distance Matrices: Essential Theory, Algorithms and Applications

Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models

Obstacles For Splitting Multidimensional Necklaces

Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Understanding the Ecumene through Interactive Mapping and Movement-Sensitive Population Indicators: the Case of the Canton Valais, Switzerland

Incommensurate crystallography without additional dimensions