Sparse Graph Hashing with Spectral Regression.
Zhihao HeJianyang QinLunke FeiShuping ZhaoJie WenBanghai WangPublished in: CGI (4) (2023)
Keyphrases
- sparse regression
- graph theory
- random projections
- sparse kernel
- sparse bayesian learning
- regression model
- gaussian graphical models
- graph representation
- order preserving
- relevance vector machine
- directed graph
- spectral decomposition
- sparse representation
- laplacian matrix
- graph structure
- sparse approximations
- spectral analysis
- structured data
- bipartite graph
- support vector
- spectral methods
- directed acyclic
- regression analysis
- normalized cut
- support vector regression
- linear regression
- graph matching
- random walk
- graphical models
- high dimensional
- canonical correlation analysis
- graph structures
- image segmentation
- similarity search
- knn
- data structure