Sparse loading noisy PCA using an l0 penalty.
Magnus O. UlfarssonVictor SoloPublished in: ICASSP (2012)
Keyphrases
- principal component analysis
- sparse pca
- sparse regression
- high dimensional
- sparse principal component analysis
- random projections
- principal components analysis
- canonical correlation analysis
- principal components
- face recognition
- robust principal component analysis
- sparse data
- independent component analysis
- covariance matrix
- noisy environments
- feature extraction
- norm regularization
- appearance based object recognition
- pattern recognition
- dimensionality reduction
- subspace learning
- sparse matrix
- principle component analysis
- face images
- objective function
- low dimensional
- negative matrix factorization
- incomplete data
- noisy data
- computer vision
- basis vectors
- kernel pca
- noise free
- sparse representation
- low rank
- missing data