DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search.
Matti KarppaMartin AumüllerRasmus PaghPublished in: CoRR (2021)
Keyphrases
- kernel density estimation
- approximate nearest neighbor search
- nearest neighbor
- mean shift
- hash functions
- density estimation
- kd tree
- probability density function
- locality sensitive hashing
- nearest neighbor search
- density function
- metric space
- object segmentation
- similarity search
- higher dimensional
- data structure
- probability density
- databases
- index structure
- feature space
- feature extraction
- feature selection
- computer vision
- machine learning