Hashing-Based-Estimators for Kernel Density in High Dimensions.
Moses CharikarParis SiminelakisPublished in: FOCS (2017)
Keyphrases
- high dimensions
- kernel density
- mean shift
- random projections
- high dimensional data
- high dimensional
- hidden markov models
- similarity search
- high dimensional spaces
- data structure
- hash functions
- poor quality
- higher order
- dimensionality reduction
- low dimensional
- motion estimation
- markov random field
- neural network
- sparse representation
- pattern recognition