Co-occurring keywords · papers mentioning both
Papers
Node Embeddings and Exact Low-Rank Representations of Complex Networks
NeurIPS 2020
Spectral Embedding of Regularized Block Models
ICLR 2020
Graph Reduction with Spectral and Cut Guarantees
JMLR 2019
Out-of-sample extension of graph adjacency spectral embedding
ICML 2018
Statistical Inference on Random Dot Product Graphs: a Survey
JMLR 2018
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
CVPR 2016
Megaman: Scalable Manifold Learning in Python
JMLR 2016
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering
CVPR 2016
Compressive spectral embedding: sidestepping the SVD
NeurIPS 2015
Semi-Supervised Learning With Explicit Relationship Regularization
CVPR 2015
A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions
CVPR 2014
Graph-Laplacian PCA: Closed-Form Solution and Robustness
CVPR 2013
On the Sample Complexity of Subspace Learning
NeurIPS 2013
Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
NeurIPS 2013
Sparse Manifold Clustering and Embedding
NeurIPS 2011