Bruno Pelletier
5 papers · 2011–2020 · 1 conference · across top CS/AI conferences
Achievements
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Hot Topic Early Bird
Conferences
JMLR (5)
Top co-authors
Research topics
Keywords
gradient line
(2)
mean-shift algorithm
(2)
gradient estimation
(2)
mean shift algorithm
(2)
manifold learning
(2)
dimensionality reduction
(2)
nonparametric statistics
(1)
maximum variance unfolding
(1)
kernel density estimation
(1)
nonparametric density estimation
(1)
convergence rate
(1)
nonlinear dimensionality reduction
(1)
perturbation bound
(1)
level set
(1)
operator norm convergence
(1)
classical scaling
(1)
spectral clustering
(1)
graph laplacian
(1)
density estimation
(1)
convergence analysis
(1)
Papers
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning
JMLR 2020
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm
JMLR 2016
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm
JMLR 2016
On the Convergence of Maximum Variance Unfolding
JMLR 2013
Operator Norm Convergence of Spectral Clustering on Level Sets
JMLR 2011