Post Tuned Hashing: A New Approach to Indexing High-dimensional Data.
Zhendong MaoQuan WangYongdong ZhangBin WangPublished in: ACM Multimedia (2018)
Keyphrases
- high dimensional data
- similarity search
- nearest neighbor
- nearest neighbor search
- high dimensional
- dimensionality reduction
- dimensionality curse
- low dimensional
- indexing techniques
- high dimensionality
- hash table
- subspace clustering
- data sets
- data points
- high dimensions
- random projections
- original data
- data analysis
- indexing structure
- locality sensitive hashing
- dimension reduction
- binary codes
- sparse representation
- hash functions
- data distribution
- high dimensional spaces
- dimensional data
- input space
- input data
- manifold learning
- indexing methods
- clustering high dimensional data
- high dimensional datasets
- lower dimensional
- metric space
- high dimensional data sets
- hamming space
- nonlinear dimensionality reduction
- linear discriminant analysis
- distance function
- hamming distance
- hashing methods
- index structure
- similarity measure