Sparse Least Squares Twin Support Vector Machines with Manifold-preserving Graph Reduction.
Xijiong XiePublished in: ICPRAM (2018)
Keyphrases
- support vector machine
- least squares
- high dimension
- sparse linear
- feature space
- high dimensional
- neighborhood graph
- graph laplacian
- feature selection
- knn
- graph representation
- gaussian graphical models
- graph construction
- heat kernel
- graph matching
- robust estimation
- random walk
- canonical correlation analysis
- bipartite graph
- directed graph
- parameter estimation
- low dimensional
- graph structure
- graph theory
- graph model
- manifold learning
- minimum spanning tree
- connected components
- sparse representation
- directed acyclic
- graph embedding
- graph mining
- underlying manifold
- laplace beltrami
- global structure
- sparse data
- dictionary learning
- undirected graph
- shape analysis
- optical flow
- image sequences