Hashing with Non-Linear Manifold Learning.
Yanzhen LiuXiao BaiCheng YanJing WangJun ZhouPublished in: DICTA (2016)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- subspace learning
- high dimensional
- nonlinear dimensionality reduction
- semi supervised
- diffusion maps
- random projections
- dimension reduction
- manifold learning algorithm
- laplacian eigenmaps
- sparse representation
- head pose estimation
- high dimensional data
- manifold structure
- feature extraction
- locality preserving
- nearest neighbor search
- nonlinear manifold
- manifold embedding
- hash functions
- binary codes
- high dimensionality
- similarity search
- image classification
- nearest neighbor
- low dimensional manifolds
- active learning
- feature space
- data analysis
- image processing
- data mining