Optimizing Gaussian Measure of Lattices using Dimensionality Reduction.
Kelechi Chuwkunonyerem EmeroleSaid BoussaktaPublished in: ICC (2020)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensional data
- high dimensionality
- data representation
- feature extraction
- gaussian distribution
- high dimensional
- distance measure
- principal component analysis
- data points
- similarity measure
- gaussian model
- neural network
- nonlinear dimensionality reduction
- random projections
- locally linear embedding
- scale space
- feature space
- decision trees
- image processing
- computer vision