Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding.
Rongrong JiHong LiuLiujuan CaoDi LiuYongjian WuFeiyue HuangPublished in: IEEE Trans. Image Process. (2017)
Keyphrases
- locally linear embedding
- manifold learning
- nonlinear dimensionality reduction
- dimensionality reduction
- low dimensional
- laplacian eigenmaps
- high dimensional
- manifold learning algorithm
- high dimensional data
- locally linear
- principal component analysis
- dimensional data
- diffusion maps
- neighborhood preserving embedding
- semi supervised
- locality preserving projections
- machine learning
- random projections
- feature space
- data analysis
- data structure
- data sets
- similarity search
- active learning
- query processing
- riemannian manifolds
- feature vectors
- image processing