Globally Sparse Probabilistic PCA.
Pierre-Alexandre MatteiCharles BouveyronPierre LatouchePublished in: AISTATS (2016)
Keyphrases
- principal component analysis
- sparse pca
- high dimensional
- sparse regression
- principal components
- sparse principal component analysis
- generative model
- random projections
- feature extraction
- principle component analysis
- uncertain data
- dimensionality reduction
- appearance based object recognition
- sparse coding
- principal components analysis
- probabilistic model
- lower dimensional
- robust principal component analysis
- bayesian networks
- canonical correlation analysis
- probabilistic logic
- independent component analysis
- sparse representation
- face images
- k means
- sparse data
- compressive sensing
- face recognition
- linear discriminant analysis
- covariance matrix
- feature selection and classification
- feature space
- information theoretic
- dimension reduction methods