Hashing-Based-Estimators for Kernel Density in High Dimensions.
Moses CharikarParis SiminelakisPublished in: CoRR (2018)
Keyphrases
- high dimensions
- kernel density
- random projections
- mean shift
- high dimensional data
- high dimensional
- hidden markov models
- high dimensional spaces
- poor quality
- hash functions
- dimensionality reduction
- similarity search
- low dimensional
- high dimensionality
- data structure
- databases
- feature space
- motion estimation
- feature extraction
- image processing
- feature selection