High Dimensional Similarity Search with Bundled Query Processing on Hilbert R-Tree.
Yohei NasuNaoki KishikawaKei TashimaShin KodamaYasunobu ImamuraTakeshi ShinoharaKouichi HirataTetsuji KuboyamaPublished in: ICPRAM (1) (2015)
Keyphrases
- similarity search
- r tree
- query processing
- high dimensional
- metric space
- spatial databases
- access methods
- index structure
- indexing method
- multimedia databases
- high dimensional data
- indexing structure
- multidimensional data
- b tree
- low dimensional
- range queries
- dimensional data
- spatial queries
- distance function
- spatial objects
- indexing methods
- efficient similarity search
- multi dimensional
- similarity queries
- database systems
- similarity measure
- indexing techniques
- feature space
- knn
- spatial index
- query optimization
- data management
- nearest neighbor search
- dimensionality reduction
- locality sensitive hashing
- efficient processing
- feature vectors
- high dimensional spaces
- machine learning
- data sets
- space partitioning
- subsequence matching
- neural network
- data streams
- hash functions
- nearest neighbor