Sparse Submodular Probabilistic PCA.
Rajiv KhannaJoydeep GhoshRussell A. PoldrackOluwasanmi KoyejoPublished in: AISTATS (2015)
Keyphrases
- principal component analysis
- high dimensional
- sparse pca
- sparse regression
- principal components
- sparse principal component analysis
- bayesian networks
- random projections
- principal components analysis
- dimensionality reduction
- uncertain data
- feature extraction
- feature space
- independent component analysis
- canonical correlation analysis
- probabilistic model
- sparse data
- robust principal component analysis
- principle component analysis
- greedy algorithm
- image classification
- face images
- probability distribution
- subspace methods
- conditional probabilities
- sparse matrix
- feature selection and classification
- signal recovery
- covariance matrix
- generative model