Publications related to Robust and Efficient Data Clustering with Signal Processing on Graphs

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Pierre Vandergheynst, Xavier Bresson, Michaël Defferrard

In this work, we are interested in generalizing convolutional neural networks (CNNs) from low-dimensional regular grids, where image, video and speech are represented, to high-dimensional irregular domains, such as social networks, brain connectomes or wor ...

2016

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

Nikolaos Geroliminis, Mohammadreza Saeedmanesh

Aggregated network level modeling and control of traffic in urban networks have recently gained a lot of interest due to unpredictability of travel behaviors and high complexity of physical modeling in microscopic level. Recent research has shown the exist ...

Elsevier2016

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

Petr Motlicek, Subhadeep Dey

The aim of the domain-adaptation task for speaker verification is to exploit unlabelled target domain data by using the labelled source domain data effectively. The i-vector based Probabilistic Linear Dis- criminant Analysis (PLDA) framework approaches thi ...

IEEE2016

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

Petr Motlicek, Subhadeep Dey

The aim of the domain-adaptation task for speaker verification is to exploit unlabelled target domain data by using the labelled source domain data effectively. The i-vector based Probabilistic Linear Dis- criminant Analysis (PLDA) framework approaches thi ...

Idiap2016

PCA using graph total variation

Pierre Vandergheynst, Nathanaël Perraudin, Benjamin Ricaud, Nauman Shahid, Vasilis Kalofolias

Mining useful clusters from high dimensional data has received sig- nificant attention of the signal processing and machine learning com- munity in the recent years. Linear and non-linear dimensionality reduction has played an important role to overcome th ...

Ieee2016

Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method

Soroosh Shafieezadeh Abadeh

In this paper, we introduce an evolving system utilizing sparse weighted kernel least square as local models and online Gustafson-Kessel clustering algorithm for structure identification. Our proposed online clustering algorithm forms elliptical clusters w ...

2016

Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation

Pierre Vandergheynst, Kirell Maël Benzi, Xavier Bresson, Vasilis Kalofolias

This work formulates a novel song recommender system as a matrix completion problem that benefits from collaborative filtering through Non-negative Matrix Factorization (NMF) and content-based filtering via total variation (TV) on graphs. The graphs encode ...

Ieee2016

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We build upon recent advances in graph signal processing to propose a faster spectral clustering algorithm. Indeed, classical spectral clustering is based on the computation of the first

k

eigenvectors of the similarity matrix' Laplacian, whose computati ...

Ieee2016

Pose and Pathosformel in Aby Warburg’s Bilderatlas

Sabine Süsstrunk, Leonardo Laurence Impett

look at Aby Warburg’s concept of Pathosformel, the repeatable formula for the expression of emotion, through the depiction of human pose in art. Using crowdsourcing, we annotate 2D human pose in one-third of the panels of Warburg’s atlas of art, and perfor ...

2016

Information content of binary snow/non-snow data for melt prediction

Snow spatial evolution and distribution in mountainous terrains is difficult to capture since these remote areas are often inaccessible. Nevertheless, they constitute important features for water resources management. To face this issue, the concept of dat ...

2016

Robust and Efficient Data Clustering with Signal Processing on Graphs

Graph Chatbot

Chat with Graph Search

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

PCA using graph total variation

Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method

Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Pose and Pathosformel in Aby Warburg’s Bilderatlas

Information content of binary snow/non-snow data for melt prediction

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

PCA using graph total variation

Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method

Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Information content of binary snow/non-snow data for melt prediction

Pose and Pathosformel in Aby Warburg’s Bilderatlas

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering