High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains.
Majid JanzaminAnimashree AnandkumarPublished in: ICML (2012)
Keyphrases
- high dimensional
- sparse data
- conditional independence
- low dimensional
- dependence structure
- sparse coding
- dimensionality reduction
- data points
- high dimensionality
- parameter space
- additive models
- high dimension
- feature space
- high dimensional problems
- microarray data
- multi dimensional
- variable selection
- input space
- sparse representation
- real world
- semi markov
- pairwise
- high dimensional spaces
- markov model
- markov chain
- neural network
- application domains
- similarity search
- manifold learning
- cross domain
- metric space
- wavelet packet
- probabilistic model
- compressed sensing
- dimension reduction
- high dimensional data
- random variables
- generalized linear models