Bruno Pelletier

Publication Activity (10 Years)

Years Active: 2001-2020
Publications (10 Years): 4

Top Topics

Color Image Segmentation

Manifold Learning

Top Venues

J. Mach. Learn. Res.

Publications

Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. J. Mach. Learn. Res. 21 (2020)
Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. CoRR (2018)
Ery Arias-Castro, David Mason, Bruno Pelletier
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. J. Mach. Learn. Res. 17 (2016)
Ery Arias-Castro, David Mason, Bruno Pelletier
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm. J. Mach. Learn. Res. 17 (2016)
Ery Arias-Castro, Bruno Pelletier
On the convergence of maximum variance unfolding. J. Mach. Learn. Res. 14 (1) (2013)
Bruno Pelletier, Pierre Pudlo
Operator Norm Convergence of Spectral Clustering on Level Sets. J. Mach. Learn. Res. 12 (2011)
Bruno Pelletier, Robert Frouin
On fields of nonlinear regression models. ESANN (2004)
Bruno Pelletier
Approximation by ridge function fields over compact sets. J. Approx. Theory 129 (2) (2004)
Bruno Pelletier
Neural network fields. NNSP (2003)
Paul Bourret, Bruno Pelletier
Curved Kernel Neural Network for Functions Approximation. IWANN (2) (2001)