Publications associées à Matrice (mathématiques)

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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

Matrice (mathématiques)

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Chattez avec Graph Search

Neuromorphic Computing Using Non-Volatile Memory

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Reduced Basis Methods: From Low-Rank Matrices To Low-Rank Tensors

MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary

Near-Field Integration of a Si3N4 Nanobeam and a SiO2 Microcavity for Heisenberg-Limited Displacement Sensing

Effect of hydrostatic pressure on flow and deformation in highly reinforced particulate composites

Anomalous thermal decoherence in a quantum magnet measured with neutron spin echo spectroscopy

Experimental method for the evaluation of the dynamic transfer matrix using pressure transducers

MATHICSE Technical Report : Riemannian optimization for high-dimensional tensor completion

Unlabeled Sensing

MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary

Neuromorphic Computing Using Non-Volatile Memory

Effect of hydrostatic pressure on flow and deformation in highly reinforced particulate composites

MATHICSE Technical Report : Riemannian optimization for high-dimensional tensor completion

Experimental method for the evaluation of the dynamic transfer matrix using pressure transducers

Anomalous thermal decoherence in a quantum magnet measured with neutron spin echo spectroscopy

Unlabeled Sensing

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Reduced Basis Methods: From Low-Rank Matrices To Low-Rank Tensors

Near-Field Integration of a Si3N4 Nanobeam and a SiO2 Microcavity for Heisenberg-Limited Displacement Sensing