High-Dimensional Sparse Bayesian Learning without Covariance Matrices.
Alexander LinAndrew H. SongBerkin BilgicDemba E. BaPublished in: CoRR (2022)
Keyphrases
- covariance matrices
- sparse bayesian learning
- high dimensional
- covariance matrix
- maximum likelihood
- vector space
- low dimensional
- distance measure
- noisy data
- gaussian mixture model
- similarity search
- gaussian distribution
- high dimensional data
- transformation matrix
- feature vectors
- high dimensionality
- linear classifiers
- dimensionality reduction
- sparse learning
- data points
- feature space
- gaussian mixture
- nearest neighbor
- mixture model
- relevance vector machine
- image classification