Recursive reduction net for large-scale high-dimensional data.
Tsung-Wei KeTyng-Luh LiuPublished in: ICIP (2016)
Keyphrases
- high dimensional data
- high dimensional
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensionality
- subspace clustering
- high dimensions
- data sets
- original data
- data points
- high dimensional spaces
- data analysis
- data distribution
- real world
- high dimensional datasets
- lower dimensional
- clustering high dimensional data
- small sample size
- input space
- manifold learning
- complex data
- linear discriminant analysis
- dimension reduction
- low rank
- dimensional data
- feature extraction
- high dimensional data sets
- pattern recognition
- sparse representation
- subspace learning
- nonlinear dimensionality reduction
- similarity search
- training set
- nearest neighbor search
- decision trees
- machine learning