From Average Embeddings To Nearest Neighbor Search.
Alexandr AndoniDavid CheikhiPublished in: CoRR (2021)
Keyphrases
- nearest neighbor search
- nearest neighbor
- high dimensional
- sequential search
- memory based learning
- fractal image compression
- similarity search
- low dimensional
- feature space
- kd trees
- dimensionality reduction
- vector space
- locality sensitive hashing
- cost model
- exhaustive search
- high dimensional data
- search methods
- image retrieval
- metric space
- high dimensional data sets
- manhattan distance
- index structure
- road network
- image processing
- hash functions
- management system
- kd tree
- neural network
- data sets