Restructuring Sparse High Dimensional Data for Effective Retrieval.
Charles Lee Isbell Jr.Paul A. ViolaPublished in: NIPS (1998)
Keyphrases
- high dimensional data
- effective retrieval
- high dimensional
- sparse representation
- low dimensional
- digital libraries
- dimensionality reduction
- information retrieval
- retrieval model
- high dimensions
- nearest neighbor
- high dimensionality
- subspace clustering
- dimension reduction
- retrieval systems
- data points
- text retrieval
- metadata
- data analysis
- similarity search
- clustering high dimensional data
- data sets
- multimedia data
- manifold learning
- image retrieval
- nonlinear dimensionality reduction
- lower dimensional
- sparse coding
- input space
- high dimensional datasets
- random projections
- information retrieval systems
- underlying manifold
- high dimensional data sets
- high dimensional spaces
- language model
- similarity measure
- neural network
- dimensional data
- feature space
- input data
- low rank
- databases
- principal component analysis
- multi dimensional
- database
- variable weighting