Subspace similarity search using the ideas of ranking and top-k retrieval.
Thomas BerneckerTobias EmrichFranz GrafHans-Peter KriegelPeer KrögerMatthias RenzErich SchubertArthur ZimekPublished in: ICDE Workshops (2010)
Keyphrases
- similarity search
- query processing
- multimedia databases
- high dimensional data
- high dimensional
- similarity retrieval
- ranked retrieval
- indexing techniques
- efficient indexing
- efficient search
- similarity queries
- retrieval efficiency
- similarity computation
- metric space
- indexing structure
- exact match
- low dimensional
- similarity measure
- distance function
- similarity join
- content based retrieval
- vector space
- return a ranked list
- similarity searching
- dimensionality reduction
- knn
- locality sensitive hashing
- web search
- content based multimedia retrieval
- r tree
- query expansion
- efficient similarity search
- data analysis
- image retrieval
- dynamic time warping
- hash functions
- image database
- information retrieval systems
- databases
- nearest neighbor search
- subspace learning
- query refinement
- feature extraction
- database systems
- document retrieval
- cross view
- approximate similarity search
- keyword search
- ranked list
- user defined
- distance measure
- feature vectors
- training data
- neural network