Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An RKHS Approach.
Alexander JungSebastian SchmutzhardFranz HlawatschZvika Ben-HaimYonina C. EldarPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- minimum variance
- gaussian model
- linear prediction
- estimation error
- conditional independence
- gaussian distribution
- reproducing kernel hilbert space
- image intensity
- gaussian mixture model
- lossless compression
- skin color
- kernel function
- kernel methods
- pairwise
- sparse representation
- mixture model
- probability distribution
- multiresolution
- feature vectors
- high dimensional