Universal Compression of High Dimensional Gaussian Vectors with James-Stein shrinkage.
Narayana Prasad SanthanamMayank BakshiPublished in: ISIT (2023)
Keyphrases
- high dimensional
- covariance matrices
- lower dimensional
- similarity search
- vector space
- data compression
- maximum likelihood
- low dimensional
- dimensionality reduction
- high dimensional feature space
- feature vectors
- compression ratio
- compression scheme
- denoising
- gaussian mixture model
- feature space
- image compression
- compression algorithm
- high dimensionality
- multi dimensional
- covariance matrix
- parameter space
- noisy data
- image denoising
- sparse data
- data points
- input data
- variable selection
- multiscale
- gaussian distribution
- high dimensional data
- wavelet domain
- metric space
- gene expression data
- gaussian noise
- nearest neighbor
- query processing
- data sets
- input pattern