Publications associées à Computation

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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

Computation

Graph Chatbot

Chattez avec Graph Search

MATHICSE Technical Report : Fast computation of the matrix exponential for a Toeplitz matrix

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Compressive Spectral Clustering

Human computation for data, information, and knowledge management

MATHICSE Technical Report : A reduced basis approach to large-scale pseudospectra computation

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop

Subdomain and Access Pattern Privacy Trading off Confidentiality and Performance

Distributed Policy Evaluation Under Multiple Behavior Strategies

Mechanism of the Cassie-Wenzel transition via the atomistic and continuum string methods

RANS computations of tip vortex cavitation

MATHICSE Technical Report : Fast computation of the matrix exponential for a Toeplitz matrix

Compressive Spectral Clustering

Human computation for data, information, and knowledge management

MATHICSE Technical Report : A reduced basis approach to large-scale pseudospectra computation

Distributed Policy Evaluation Under Multiple Behavior Strategies

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Subdomain and Access Pattern Privacy Trading off Confidentiality and Performance

RANS computations of tip vortex cavitation

Mechanism of the Cassie-Wenzel transition via the atomistic and continuum string methods