Co-occurring keywords · papers mentioning both
Papers
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression
AISTATS 2024
Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching
CVPR 2024
Generalized Laplacian Eigenmaps
NeurIPS 2022
Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps
JMLR 2022
Contrastive Laplacian Eigenmaps
NeurIPS 2021
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
AAAI 2021
On Differentially Private Graph Sparsification and Applications
NeurIPS 2019
Megaman: Scalable Manifold Learning in Python
JMLR 2016
Active Learning for Interactive Visualization
AISTATS 2013
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors
CVPR 2013
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
AISTATS 2011
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
NeurIPS 2010
Manifold Learning: The Price of Normalization
JMLR 2008
People Tracking with the Laplacian Eigenmaps Latent Variable Model
NeurIPS 2007
Convergence of Laplacian Eigenmaps
NeurIPS 2006