graph laplacian

Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering ICML 2018 The Power Mean Laplacian for Multilayer Graph Clustering AISTATS 2018 Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification IJCAI 2017 Improved Graph Laplacian via Geometric Self-Consistency NeurIPS 2017 Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks CVPR 2016 Data driven estimation of Laplace-Beltrami operator NeurIPS 2016 How to Learn a Graph from Smooth Signals AISTATS 2016 New Resistance Distances with Global Information on Large Graphs AISTATS 2016 Simple and Scalable Constrained Clustering: a Generalized Spectral Method AISTATS 2016 Context-Guided Diffusion for Label Propagation on Graphs ICCV 2015 Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses JMLR 2015 Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning ICCV 2015 Local High-Order Regularization on Data Manifolds CVPR 2015 New Insights Into Laplacian Similarity Search CVPR 2015 Spectral Clustering via the Power Method - Provably ICML 2015 Robust Subspace Segmentation with Block-diagonal Prior CVPR 2014 Semi-Supervised Eigenvectors for Large-Scale Locally-Biased Learning JMLR 2014 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation ICML 2014 Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 Curvature-Aware Regularization on Riemannian Submanifolds ICCV 2013 Enhanced statistical rankings via targeted data collection ICML 2013 Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013 Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013