On the role of ML estimation and Bregman divergences in sparse representation of covariance and precision matrices.
Branko BrkljacZeljen TrpovskiPublished in: CoRR (2018)
Keyphrases
- sparse representation
- bregman divergences
- negative matrix factorization
- face recognition
- image classification
- cost sensitive
- signal processing
- information theoretic
- high dimensional data
- maximum likelihood
- image patches
- dimensionality reduction
- nonnegative matrix factorization
- image representation
- singular value decomposition
- nearest neighbor
- pattern recognition
- image features
- learning theory
- exponential family