Publications associées à Multi-experts scheduling system for real-time applications

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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

Multi-experts scheduling system for real-time applications

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Chattez avec Graph Search

Generalized Gauss Inequalities via Semidefinite Programming

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Satisficing measure approach for vehicle routing problem with time windows under uncertainty

Active control for mid-span connection of a deployable tensegrity footbridge

Nematodynamics and random homogenization

Multiple Tab-and-Slot Joint : Improvement of the Rotational Stiffness for the Connection of Thin Structural Wood Panels

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Local trapping for elliptic random walks in random environments in Z(d)

Anomaly detection in elderly daily behavior in ambient sensing environments

Ultra-low-power ECG front-end design based on compressed sensing

Generalized Gauss Inequalities via Semidefinite Programming

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Satisficing measure approach for vehicle routing problem with time windows under uncertainty

Active control for mid-span connection of a deployable tensegrity footbridge

Multiple Tab-and-Slot Joint : Improvement of the Rotational Stiffness for the Connection of Thin Structural Wood Panels

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Local trapping for elliptic random walks in random environments in Z(d)

Nematodynamics and random homogenization

Anomaly detection in elderly daily behavior in ambient sensing environments

Ultra-low-power ECG front-end design based on compressed sensing