Feature Dimensionality Reduction with Graph Embedding and Generalized Hamming Distance.
Honglei ZhangMoncef GabboujPublished in: ICIP (2018)
Keyphrases
- graph embedding
- hamming distance
- dimensionality reduction
- low dimensional
- feature representation
- data representation
- semi supervised dimensionality reduction
- semi supervised
- discriminant analysis
- pattern matching
- embedding space
- distance measure
- subspace learning
- principal component analysis
- high dimensional
- label information
- locality preserving projections
- binary codes
- feature space
- high dimensional data
- iris code
- dictionary learning
- feature extraction
- linear discriminant analysis
- machine learning
- data points
- feature selection
- manifold learning
- hash functions
- feature set
- locally linear embedding
- nonlinear dimensionality reduction
- active learning
- feature vectors
- pattern recognition