Permutation based indexing for high dimensional data on GPU architectures.
Martin KrulisHasmik OsipyanStéphane Marchand-MailletPublished in: CBMI (2015)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensional
- dimensionality curse
- data sets
- data analysis
- high dimensionality
- subspace clustering
- high dimensions
- high dimensional spaces
- database
- dimension reduction
- data distribution
- similarity search
- data points
- original data
- input space
- lower dimensional
- variable selection
- sparse representation
- clustering high dimensional data
- high dimensional data sets
- manifold learning
- indexing techniques
- nonlinear dimensionality reduction
- high dimensional datasets
- dimensional data
- input data
- small sample size
- pattern recognition
- locally linear embedding
- nearest neighbor search
- information retrieval
- computer vision
- feature extraction
- text data
- multi dimensional
- machine learning
- real world