Detecting and Estimating Multivariate Self-Similar Sources in High-Dimensional Noisy Mixtures.
Patrice AbryHerwig WendtGustavo DidierPublished in: SSP (2018)
Keyphrases
- high dimensional
- multivariate data
- noisy data
- source separation
- blind source separation
- blind separation
- information sources
- discrete data
- data sources
- hidden markov models
- mixture model
- databases
- high dimensionality
- low dimensional
- high dimension
- dimensionality reduction
- knowledge sources
- rigid body
- manifold learning
- high dimensional problems
- gene expression data
- microarray
- regression model
- similarity search
- source signals
- mixtures of gaussians
- automatic detection
- gaussian mixture
- variable selection
- independent component analysis
- high dimensional data
- multi dimensional
- fractal dimension
- noise free
- multiple sources
- parameter space
- data sets
- expectation maximization
- gaussian density