Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation.
Magda AmiridiNikos KargasNicholas D. SidiropoulosPublished in: CoRR (2021)
Keyphrases
- density estimation
- low rank
- trace norm
- high order
- mixture model
- matrix factorization
- linear combination
- convex optimization
- probability density function
- matrix completion
- missing data
- outlier detection
- probability density
- singular value decomposition
- high dimensional data
- semi supervised
- gaussian mixture model
- image compression
- machine learning
- maximum likelihood
- data sets
- higher order
- small number
- probabilistic model
- active learning
- kernel matrix
- computer vision