Graph manifold learning with non-gradient decision layer.
Ziheng JiaoHongyuan ZhangRui ZhangXuelong LiPublished in: Neurocomputing (2024)
Keyphrases
- manifold learning
- neighborhood graph
- dimensionality reduction
- low dimensional
- high dimensional
- dimension reduction
- nonlinear dimensionality reduction
- subspace learning
- semi supervised
- feature extraction
- manifold structure
- diffusion maps
- high dimensional data
- graph laplacian
- head pose estimation
- random walk
- laplacian eigenmaps
- geodesic distance
- weighted graph
- feature space
- embedding space
- data mining
- graph construction
- sparse representation
- input data
- data points
- pattern recognition
- data sets
- manifold embedding
- manifold learning algorithm
- discriminant embedding