Lower bound estimation for a family of high-dimensional sparse covariance matrices.
Huimin LiYouming LiuPublished in: Int. J. Wavelets Multiresolution Inf. Process. (2024)
Keyphrases
- covariance matrices
- high dimensional
- estimation problems
- lower bound
- covariance matrix
- upper bound
- maximum likelihood
- vector space
- distance measure
- gaussian mixture model
- gaussian distribution
- low dimensional
- similarity search
- objective function
- nearest neighbor
- dimensionality reduction
- high dimensional data
- sparse coding
- training samples
- parameter space
- multivariate normal
- gaussian mixture
- np hard
- feature space
- sparse representation
- principal components
- density estimation
- optimal solution
- image processing
- riemannian manifolds
- learning algorithm
- machine learning