SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions.
Frederick TungJames J. LittlePublished in: ACCV (1) (2016)
Keyphrases
- high dimensions
- high dimensional
- high dimensional data
- information retrieval
- high dimensional spaces
- image database
- learning algorithm
- sparse representation
- image retrieval
- poor quality
- feature selection
- dimensionality reduction
- low dimensional
- nearest neighbor
- binary matrices
- data points
- real world
- data sets
- high dimensionality
- semi supervised
- image analysis