Faster Spectral Density Estimation and Sparsification in the Nuclear Norm.
Yujia JinIshani KarmarkarChristopher MuscoAaron SidfordApoorv Vikram SinghPublished in: CoRR (2024)
Keyphrases
- density estimation
- mixture model
- probability density function
- low rank
- matrix completion
- expectation maximization
- low rank matrix
- reproducing kernel hilbert space
- norm minimization
- least squares
- em algorithm
- generative model
- outlier detection
- sparse representation
- convex optimization
- singular value decomposition
- feature extraction
- image classification
- pairwise
- pattern recognition
- bayesian networks