Edge-enhanced analytics via latent space dimensionality reduction.
Maryleen U. NdubuakuMuhammad K. AliAshiq AnjumAntonio LiottaStephan Reiff-MarganiecPublished in: BDCAT (2020)
Keyphrases
- dimensionality reduction
- latent space
- low dimensional
- lower dimensional
- high dimensional
- high dimensional data
- manifold learning
- principal component analysis
- low dimensional spaces
- data points
- edge detection
- linear discriminant analysis
- feature space
- pattern recognition
- feature extraction
- feature selection
- random projections
- singular value decomposition
- high dimensionality
- euclidean distance
- data mining
- latent variables
- high dimensional spaces
- nonlinear dimensionality reduction
- distance metric
- generative model
- data analysis
- gaussian process
- text classification
- computer vision
- gaussian process latent variable models