| Kernel density estimation on Riemannian manifolds B Pelletier Statistics & probability letters 73 (3), 297-304, 2005 | 192 | 2005 |
| Atmospheric correction of satellite ocean-color imagery during the PACE era RJ Frouin, BA Franz, A Ibrahim, K Knobelspiesse, Z Ahmad, B Cairns, ... Frontiers in earth science 7, 145, 2019 | 129 | 2019 |
| ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm E Arias-Castro, D Mason, B Pelletier Journal of Machine Learning Research 17 (206), 1-4, 2016 | 111 | 2016 |
| Retrieving of particulate matter from optical measurements: A semiparametric approach B Pelletier, R Santer, J Vidot Journal of Geophysical Research: Atmospheres 112 (D6), 2007 | 109 | 2007 |
| Non-parametric regression estimation on closed Riemannian manifolds B Pelletier Journal of Nonparametric Statistics 18 (1), 57-67, 2006 | 72 | 2006 |
| A graph-based estimator of the number of clusters G Biau, B Cadre, B Pelletier ESAIM: Probability and Statistics 11, 272-280, 2007 | 51 | 2007 |
| Exact rates in density support estimation G Biau, B Cadre, B Pelletier Journal of Multivariate Analysis 99 (10), 2185-2207, 2008 | 42 | 2008 |
| Bayesian methodology for inverting satellite ocean-color data R Frouin, B Pelletier Remote Sensing of Environment 159, 332-360, 2015 | 38 | 2015 |
| Remember the curse of dimensionality: The case of goodness-of-fit testing in arbitrary dimension E Arias-Castro, B Pelletier, V Saligrama Journal of Nonparametric Statistics 30 (2), 448-471, 2018 | 36 | 2018 |
| The normalized graph cut and Cheeger constant: from discrete to continuous E Arias-Castro, B Pelletier, P Pudlo Advances in Applied Probability 44 (4), 907-937, 2012 | 32 | 2012 |
| Estimation of density level sets with a given probability content B Cadre, B Pelletier, P Pudlo Journal of Nonparametric Statistics 25 (1), 261-272, 2013 | 30 | 2013 |
| A kernel-based classifier on a Riemannian manifold JM Loubes, B Pelletier Statistics & Decisions 26 (1), 35-51, 2008 | 30 | 2008 |
| Asymptotic normality in density support estimation G Biau, B Cadre, D Mason, B Pelletier | 28 | 2009 |
| Informative barycentres in statistics B Pelletier Annals of the Institute of Statistical Mathematics 57, 767-780, 2005 | 26 | 2005 |
| On the Convergence of Maximum Variance Unfolding. E Arias-Castro, B Pelletier Journal of Machine Learning Research 14 (7), 2013 | 24 | 2013 |
| Perturbation bounds for procrustes, classical scaling, and trilateration, with applications to manifold learning E Arias-Castro, A Javanmard, B Pelletier Journal of Machine Learning Research 21 (15), 1-37, 2020 | 21 | 2020 |
| Operator norm convergence of spectral clustering on level sets B Pelletier, P Pudlo The Journal of Machine Learning Research 12, 385-416, 2011 | 19 | 2011 |
| Maximum entropy solution to ill-posed inverse problems with approximately known operator JM Loubes, B Pelletier Journal of Mathematical Analysis and Applications 344 (1), 260-273, 2008 | 19 | 2008 |
| On the estimation of latent distances using graph distances E Arias-Castro, A Channarond, B Pelletier, N Verzelen | 17 | 2021 |
| Remote sensing of phytoplankton chlorophyll-a concentration by use of ridge function fields B Pelletier, R Frouin Applied optics 45 (4), 784-798, 2006 | 17 | 2006 |
