Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks.
Leonardo Tadeu LopesDaniel Carlos Guimarães PedronettePublished in: WACV (2023)
Keyphrases
- manifold learning
- neighborhood graph
- dimensionality reduction
- low dimensional
- semi supervised
- nonlinear dimensionality reduction
- diffusion maps
- high dimensional data
- high dimensional
- subspace learning
- feature extraction
- dimension reduction
- manifold learning algorithm
- head pose estimation
- laplacian eigenmaps
- sparse representation
- graph structure
- weighted graph
- random walk
- graph laplacian
- discriminant projection
- manifold structure
- graph construction
- signal processing
- locally linear embedding
- sparse coding
- unsupervised learning
- graph embedding
- low dimensional manifolds
- training data
- computer vision
- data mining