DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search.
Matti KarppaMartin AumüllerRasmus PaghPublished in: AISTATS (2022)
Keyphrases
- kernel density estimation
- approximate nearest neighbor search
- nearest neighbor
- mean shift
- density estimation
- hash functions
- metric space
- probability density function
- density function
- kd tree
- nearest neighbor search
- locality sensitive hashing
- higher dimensional
- probability density
- high dimensional
- object segmentation
- training set
- data structure
- particle filter
- feature selection
- training data