Sufficient Dimensionality Reduction with Irrelevant Statistics
Amir GlobersonGal ChechikNaftali TishbyPublished in: CoRR (2012)
Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensional data
- data representation
- pattern recognition
- principal components
- feature space
- structure preserving
- input space
- feature extraction
- high dimensionality
- principal component analysis
- linear discriminant analysis
- dimensionality reduction methods
- lower dimensional
- statistical modeling
- machine learning
- graph embedding
- intrinsic dimensionality
- nonlinear dimensionality reduction
- real time
- linear dimensionality reduction
- random projections
- confidence intervals
- sparse representation
- data points
- data sets