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

The Significance of Corporate Social Disclosure for High-Tech Manufacturing Companies: Focus on Employee and Community Aspects of Sustainable Development

Addressing a global key sector area - the high technology manufacturing sector - we examine if there is truly a benefit of corporate social disclosure to the bottom line of organizations within this sector and if stakeholders should devote more attention t ...

Wiley2017

Space lower bounds for low-stretch greedy embeddings

Christos Kalaitzis

Greedy (geometric) routing is an important paradigm for routing in communication networks. It uses an embedding of the nodes of a network into points of a space (e.g., R-d) equipped with a distance function (e.g., the Euclidean distance l(2)) and uses as a ...

Elsevier Science Bv2016

Approximation algorithms for geometric dispersion

Alfonso Bolívar Cevallos Manzano

The most basic form of the max-sum dispersion problem (MSD) is as follows: given n points in R^q and an integer k, select a set of k points such that the sum of the pairwise distances within the set is maximal. This is a prominent diversity problem, with w ...

EPFL2016

Simultaneous Approximation of Polynomials

János Pach, Andrei Kupavskii

Let P-d denote the family of all polynomials of degree at most d in one variable x, with real coefficients. A sequence of positive numbers x(1)

Springer Int Publishing Ag2016

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

Relax and Unfold: Microphone Localization with Euclidean Distance Matrices

Martin Vetterli, Ivan Dokmanic, Juri Ranieri

Recent methods for localization of microphones in a microphone array exploit sound sources at a priori unknown locations. This is convenient for ad-hoc arrays, as it requires little additional infrastructure. We propose a flexible localization algorithm by ...

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

Indoor localization method and system

Martin Vetterli, Reza Parhizkar, Gilles Baechler

An indoor localization method for estimating the location of nodes (n1, n2), at least one node (n1) being connected to at least another node (n2) by at least two different channels (ch1, ch1′), comprising the following steps: measuring a distance between t ...

2015

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

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

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

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The Significance of Corporate Social Disclosure for High-Tech Manufacturing Companies: Focus on Employee and Community Aspects of Sustainable Development

Space lower bounds for low-stretch greedy embeddings

Approximation algorithms for geometric dispersion

Simultaneous Approximation of Polynomials

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

Relax and Unfold: Microphone Localization with Euclidean Distance Matrices

Obstacles For Splitting Multidimensional Necklaces

Indoor localization method and system

Euclidean Distance Matrices: Essential Theory, Algorithms and Applications

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

Relax and Unfold: Microphone Localization with Euclidean Distance Matrices

Obstacles For Splitting Multidimensional Necklaces

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

Simultaneous Approximation of Polynomials

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

The Significance of Corporate Social Disclosure for High-Tech Manufacturing Companies: Focus on Employee and Community Aspects of Sustainable Development

Approximation algorithms for geometric dispersion

Euclidean Distance Matrices: Essential Theory, Algorithms and Applications

Space lower bounds for low-stretch greedy embeddings

Indoor localization method and system