Concept

Distance matrix

Related publications (36)

Network Alignment by Representation Learning on Structure and Attribute

Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

Network alignment is the task of recognizing similar network nodes across different networks, which has many applications in various domains. As traditional network alignment methods based on matrix factorization do not scale to large graphs, a variety of ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Graph Heat Mixture Model Learning

Pascal Frossard, Mireille El Gheche, Hermina Petric Maretic

Graph inference methods have recently attracted a great interest from the scientific community, due to the large value they bring in data interpretation and analysis. However, most of the available state-of-the-art methods focus on scenarios where all avai ...

IEEE2018

Network Alignment: Theory, Algorithms, and Applications

Ehsan Kazemi

Networks are central in the modeling and analysis of many large-scale human and technical systems, and they have applications in diverse fields such as computer science, biology, social sciences, and economics. Recently, network mining has been an active a ...

EPFL2016

PROPER: global protein interaction network alignment through percolation matching

Matthias Grossglauser, Seyed Hamed Hassani, Ehsan Kazemi, Hasan Pezeshgi Modarres

Background The alignment of protein-protein interaction (PPI) networks enables us to uncover the relationships between different species, which leads to a deeper understanding of biological systems. Network alignment can be used to transfer biological know ...

2016

On the statistical physics of chains and rods, with application to multi-scale sequence-dependent DNA modelling

Alexandre Emmanuel Grandchamp

The complex mechanisms involved in cellular processes have been increasingly understood this past century and the central role of the DNA molecule has been recognized. The base pair sequence along a DNA fragment is observed not only to encode the genomic i ...

EPFL2016

On Application Of Non-Negative Matrix Factorization for Ad Hoc Microphone Array Calibration from Incomplete Noisy Distances

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh

We propose to use non-negative matrix factorization (NMF) to estimate the unknown pairwise distances and reconstruct a distance matrix for microphone array position calibration. We develop new multiplicative update rules for NMF with incomplete input matri ...

2015

Progressive Geometric Algorithms

Timur Bagautdinov

Progressive algorithms are algorithms that, on the way to computing a complete solution to the problem at hand, output intermediate solutions that approximate the complete solution increasingly well. We present a framework for analyzing such algorithms, an ...

Carleton Univ, Dept Mathematics & Statistics2015

Euclidean Distance Matrix Completion for Ad-hoc Microphone Array Calibration

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

This paper addresses the application of missing data recovery via matrix completion for audio sensor networks. We propose a method based on Euclidean distance matrix completion for ad-hoc microphone array location calibration. This method can calibrate a f ...

2013

Euclidean Distance Matrix Completion for Ad-hoc Microphone Array Calibration

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

2013

Fusing Matching and Biometric Similarity Measures for Face Diarization in Video

Jean-Marc Odobez, Paul Gay

This paper addresses face diarization in videos, that is, deciding which face appears and when in the video. To achieve this face-track clustering task, we propose a hierarchical approach combining the strength of two complementary measures: (i) a pairwise ...

ACM2013

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